
Sanity · London
We're hiring a senior engineer for Content Agent - Sanity's operations layer for structured content. It's the system that turns content work (bulk edits, audits...
We're hiring a senior engineer for Content Agent - Sanity's operations layer for structured content. It's the system that turns
content work (bulk edits, audits, translation, publishing) into things an agent can actually run. It lives in Dashboard, Studio,
Slack, and behind a headless API. If you've spent time on AI systems that have to hold up for real users, not just in a demo, read
on.
At Sanity, we build an AI-powered content operating system that lets teams model, create, and automate content the way their
business actually runs. SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew run their content operations on
it.
Content Agent is the part of the product that understands structured content - schemas, references, field types, validation rules
integrations, agent orchestration, system prompts, evals to make the whole thing more reliable. Engineers on this team own their
domain and work closely with product on what gets built next.
it to do the right thing for every user who shows up.
means for the architecture: what the agent knows, what tools it has, when it escalates.
system that reads literally. Writing them well takes a feel for how language lands, not just what it says - who "you" refers
to, what's implied versus explicit, how a sentence will actually be parsed.
results statistically, and not chasing individual failures when the aggregate trend is what matters. You've moved past "it
compiles or it doesn't."
Nobody checks every box. We're especially interested in people from non-traditional backgrounds - writing, interaction design,
liberal arts - who've built real engineering skills on top. Some of the best agent work we've seen comes from people who
understand language and how people actually work, not just systems architecture. If this sounds like you, send something in.
Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big
differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and
personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored
content authoring experiences, customized workflows, and content models that reflect their business.
Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold
Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This
funding round has put Sanity in a strong position for accelerated growth in the coming years.
You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious
people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here!
Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that, in
addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and
services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin,
sexual orientation, age, marital status, disability, or gender identity.
ABOUT THE OPPORTUNITY Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers. At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer - Machine Learning (f/m/d) who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team. WHAT TO EXPECT? * Measure and ensure the high-quality output of ML workloads for our enterprise customers. * Design, build, and measure production software in the Contentful Platform. * Conduct focused research and testing using tools like Jupyter Notebook. * Optimize generative AI products for accuracy, speed, and scalability. * Integrate ML cloud solutions and adapt them to our large-scale use cases. * Integrate prompt engineering and fine-tuning for customer use cases. * Develop software that scales to meet the demands of high-load customer workloads. * Lead design reviews with peers and stakeholders to decide amongst available technologies. * Drive the ML education in the team and establish a high standard of quality & ownership WHAT YOU NEED TO BE SUCCESSFUL? * Proven experience as a technical leader in a product software development environment * Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads * Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs * Ability to organize and prioritize competing workloads * Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP) * Solid understanding of machine learning principles * Experience with container frameworks such as Docker or Kubernetes * Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth. * Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest Preferred: * Background includes machine learning and AI implementation * You can translate a research paper into a PoC if the code does not exist WHAT’S IN IT FOR YOU? * Join an ambitious tech company reshaping the way people build digital experiences * Full-time employees receive Stock Options for the opportunity to share in the success of our company * Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. * We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days * Time off to care for and focus on your growing family * Use your personal annual education budget to improve your skills and grow in your career * Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties * An annual wellbeing stipend to care for your physical, financial, or emotional health * A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. * New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. WHO ARE WE? Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. EVERYONE IS WELCOME HERE! “Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have. By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
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 OPPORTUNITY It's an incredible time to join the Engineering team at Multiverse, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of thousands of people — not by picking up tickets, but by building the engine that gets more people into transformative learning, faster. The Mission Multiverse is reshaping the future of workforce development. Growth at Multiverse is a product problem, not a marketing problem — and increasingly the answers to those problems run through AI. You will join a domain team, gain deep knowledge of our products, and play a central role in delivering scalable, user-focused learner experiences across the platform. The Product Our platform now serves tens of thousands of learners, and demand for AI skills is accelerating. You won't be handed a spec — you'll be in discovery, shaping what we build and why. Every feature you ship connects directly to a learner outcome, and you'll be expected to own that connection from design through to deployment. The Team You will be joining a high-growth, high-impact cross-functional tribe spanning product, engineering, design, and AI innovation. We foster a culture of engineering craft, structured experimentation, and rapid innovation. We value engineers who are comfortable swimming in the deep end, who care deeply about the intersection of AI and user experience, and who are excited to solve complex scaling challenges. This is a high-trust, hands-on building environment, supported by "10% time" for experimentation and weekly knowledge-sharing. We embrace a "re-teaming" culture — giving you the high-agency opportunity to dynamically form teams around business priorities, tackle new disciplines, and accelerate your career. The Challenge You will tackle bold problems to drive our scaling efforts: * Activate Learners: Build AI-driven onboarding flows that adapt in real time to what a learner already knows, how they prefer to engage, and where they need support. * Drive Engagement: Partner with AI Engineers to develop personalised learning experiences that adapt to individual pace, context, and need. * Scale Systems: Operationalise AI-generated content at scale across our end-to-end messaging systems — defining the guardrails that ensure output feels relevant and human. * Ship Code: Deliver high-quality architecture and write production code across our core stack: AWS, React, and TypeScript. AI Fluency This role sits at the intersection of AI and product. We don't treat AI as an add-on or an experiment — it is our engine. We expect you to be a practitioner: * You use AI-assisted development tools (e.g. Claude Code, Cursor, Gemini) as a natural part of your daily workflow — to accelerate velocity, raise code quality, and explore solution space faster. * You evaluate AI output critically. You know when to trust it, when to push back, and how to iterate toward something production-worthy. * You've worked with LLM APIs or agentic frameworks in a real product context and understand their failure modes — hallucination, latency, cost, and user trust. * You bring a product builder's instinct to AI features: you're asking "does this actually help the user?" not just "does this technically work?" Your Impact As a Senior Software Engineer, your mastery drives direct business outcomes. We expect you to: * Execute as an Owner: Independently lead initiatives from design to deployment. Avoid over or under-building — arrive at implementations that solve the problem, deliver customer value, and scale. * Elevate Technical Excellence: Zero tolerance for user issues. Launch bug-free systems with proactive monitoring and instrumentation built in from day one. * Scale Simplicity: Identify and manage technical debt, leaving the codebase cleaner than you found it. Understand a problem with multiple solutions, consider trade-offs, and settle on the most suitable design before building. * Multiply Your Team: Help less experienced engineers grow through mentoring, pairing, and code reviews. Proactively unblock peers. * Embrace High Agency: Thrive in our re-teaming environment — collaborate across functions, adapt to shifting priorities, and bring an owner's mindset to ambiguous challenges. * Communicate Clearly: Inspire confidence when presenting complex technical concepts to both technical and non-technical stakeholders. * Take Initiative: Pull up a chair in discovery. Work alongside product and design to shape the problem before the solution is fixed. Name bottlenecks early and act on them. * Stay Metric Obsessed: Track and understand product and engineering metrics alike — and always connect them to the business result they ladder up to. * Grow Continuously: Treat setbacks as a signal, not a failure. Make calls without perfect data, change direction when new information arrives, and see the current state as a starting point. Operating Principles in Action We evaluate and drive performance through our BAM framework (Behaviours, Achievement, Mastery): * Solve for Customer Value: Every decision starts with: "How does this create value for our paying customers?" Prioritise work that directly benefits the learner over internal convenience or habit. * Drivers, Not Passengers: Own outcomes. Don't wait for permission to fix a problem — lead the solution, take others with you. * Be Decisive, Even in Ambiguity: Launch imperfect solutions, test, learn, and course-correct quickly. Don't let fear of the wrong call stall progress. * AI to Deliver Outcomes: AI is your co-author, not a shortcut. Use it to go faster and build better — but direct it deliberately, challenge its output, and hold the quality bar. Interview Process * Initial Screen: A brief conversation about your background, achievements, and impact. * AI-Assisted Technical: A coding and system design exercise where you use AI tools to build. We assess how you direct, evaluate, and iterate on AI output — not just whether you can use it. We then deep dive into your technical mastery and architectural thinking. * Architecture & Behaviours: How you live our Operating Principles — ownership, decisiveness, and how you bring others along. Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
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. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. Based in the UK, this Senior Sales Engineer is a critical, highly-visible role within our organization, serving as the primary technical resource for our Sales team. You will be responsible for driving the technical closure of sales opportunities by demonstrating the value of Observe to prospective customers. This role requires a blend of deep technical knowledge, strong presentation skills, and a customer-focused approach. KEY RESPONSIBILITIES: * Technical Discovery and Presentation: Conduct in-depth technical discovery sessions with prospects to understand their current environment, challenges, and specific observability requirements. Tailor and deliver compelling product demonstrations and technical presentations that showcase how our solution addresses their needs. * Proof of Concepts (POCs): Design, scope, and manage technical evaluations and Proof of Concepts, ensuring the successful setup and demonstration of value within the customer's environment. Document findings and present clear, persuasive results back to the customer. * Sales Team Support: Partner closely with Account Executives to develop and execute technical sales strategies. Act as the technical subject matter expert throughout the sales cycle, from initial contact to final contract. * Feedback and Product Collaboration: Serve as the voice of the customer to the Product Management and Engineering teams, providing crucial feedback on product capabilities, market needs, and competitive landscape. * Content and Training: Develop and maintain technical sales collateral, including demo environments, presentations, and best practice guides. Deliver technical training to the broader Sales organization. * Travel: Ability to travel to client sites and industry events as required. QUALIFICATIONS : Required * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * 5+ years of experience as a Sales Engineer or Solutions Architect in the software industry. * Deep technical understanding and practical experience with modern Observability concepts (metrics, logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack). * Familiarity with cloud-native technologies (Kubernetes, Docker, Microservices) and major cloud platforms (AWS, Azure, GCP). * Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Preferred * Experience selling to Developer, DevOps, and Site Reliability Engineering (SRE) personas. * Prior experience in a fast-paced, high-growth Observability or Application Performance Monitoring (APM) company. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com