Software Engineering Manager, AI Growth

Senior Software Engineer, AI Growth

Sanity

At Sanity, we're building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like Linear, Figma, Riot Games, Anthropic, Spotify, Arc’teryx and Morningbrew are using Sanity to power and automate their content operations. In this role, you'll help build the full vertical for AI-native development at Sanity – from advancing our Model Context Protocol (MCP) server to shipping agentic systems that can scaffold Sanity apps, Studios, and full-stack frontends. You'll work closely with a designer, product manager, and fellow engineers to move fast, experiment constantly, and turn emerging AI capabilities into real products. If you're the kind of person who stays up late tinkering with new model releases and thinks in terms of what's possible rather than what's been done before, this is your role. Here's some of what we've shipped recently: * Sanity MCP Server – our remote MCP server, now generally available and listed as one of eight official MCP servers in Vercel's v0. * Sanity Agent Toolkit – agent rules exposed via MCP, plus a Claude Code plugin with skills and slash commands. * Auto-configured MCP in the CLI – the Sanity CLI automatically detects code editors and configures the MCP server for you. WHAT YOU WILL DO * Advance our MCP server – add new capabilities, tools, and integrations that let AI agents interact deeply with Sanity's content platform. * Build agentic developer tools – ship systems that can generate Sanity apps and studios, as well as frontend code with minimal human guidance. * Design and run evals – build evaluation suites using Braintrust to catch regressions, measure improvements, and make data-driven decisions about prompt and model changes. * Build a Sanity MCP app – create rich React interfaces on top of the MCP protocol for platforms like ChatGPT (using the new ChatGPT Apps SDK) and Claude. * Move across the stack daily – one day you're designing a new MCP tool, the next you're polishing a React component or deploying a new microservice. * Apply prompt engineering craft – diagnose why models fail, steer them effectively, and build intuition for what makes prompts work at scale. * Ship production AI features – write clean, well-tested TypeScript and turn experiments into reliable capabilities that thousands of developers use. * Collaborate with the team – work closely with design, product, and engineering to iterate quickly and share what you learn. ABOUT YOU: * Based in Remote US or San Francisco / Bay Area – if you are in San Francisco/ Bay Area, you should be able to work at least 2 days a week from the office. * Strong TypeScript, React, and Node.js skills – you're comfortable moving between frontend and backend, and a pure specialist profile isn't what we're after. * Shipped AI-powered code to production – whether at work or through side projects, you've built real things with OpenAI, Anthropic, or Vercel AI SDKs. * Actively using MCP in your workflow – you've enhanced your own development with MCP servers. Bonus if you've built one yourself. * Fluent in the current AI landscape – you can articulate the differences between Claude Opus 4.5, Gemini 3, and GPT-5.2, and you have opinions on tools like Cursor, Claude Code, Lovable, and v0. * Hungry and curious – you're obsessed with the craft, experimenting constantly, and energized by how fast this space moves. * Strong prompt intuition – you can "decode" why a model is hallucinating or ignoring instructions without relying solely on automated evals. * Collaborative and clear communicator – you work well with designers and product managers, and you can explain complex AI concepts simply. Not sure you meet every requirement? If you're building in this space and can't stop thinking about what's next, we want to hear from you. WHAT WE CAN OFFER: * A highly-skilled, inspiring, and supportive team * Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth * A global, multi-culturally diverse group of colleagues and customers * Comprehensive health plans and perks * A healthy work-life balance that accommodates individual and family needs * Competitive stock options program WHO WE ARE: Sanity 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 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, citizenship, marital status, disability, or gender identity.

Senior GTM Engineer, Systems Engineering

Sanity

At Sanity, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morning Brew use Sanity to power and automate their content operations. In this GTM Engineer role, you’ll join the Systems Engineering team to build the internal systems, applications, workflows, and AI-powered tools that help Sanity’s go-to-market teams operate with more speed, trust, and impact. You’ll work closely with Sales, Revenue Operations, Customer Solutions, Marketing, and leadership to turn operational friction into durable systems that improve pipeline execution, customer engagement, internal visibility, and team productivity. This role sits at the intersection of software engineering, GTM operations, data, workflow automation, and AI. You’ll help build Sanity’s own AI Content Operating System internally: the apps, schemas, integrations, automations, agents, and workflows that help our teams move faster and make better decisions. RevOps and business system owners define and maintain many of Sanity’s core GTM systems and processes; you’ll build the product layer on top, making those systems easier to use, extend, automate, and trust every day. If you’re a builder who enjoys working directly with GTM teams, moving quickly from ambiguous problems to shipped products, and creating systems that help people do their best work, this role is for you. WHAT YOU WOULD DO * Build internal GTM products that help Sales, RevOps, Customer Solutions, Marketing, and leadership operate with more speed, clarity, and confidence. * Ship full-stack applications across Sanity SDK apps and studios, APIs, backend services, data pipelines, automation layers, and AI-powered workflows. * Develop tools and workflows that support pipeline generation, deal execution, customer expansion, account planning, handoffs, forecasting, enablement, and GTM visibility. * Build AI-driven workflows that reduce manual work, surface insights, improve data quality, and help GTM teams make better decisions. * Create reusable patterns and paved paths for building, adopting, and extending AI-powered operational systems across GTM. * Build for trust through access control, auditability, schema quality, governance, data quality, observability, and operational resilience. * Partner with workflow champions and GTM stakeholders to move quickly from prototype to production. * Measure impact through adoption, time saved, workflow completion rates, data quality, pipeline visibility, GTM productivity, AI evals, and stakeholder feedback. * Help shape the architecture, practices, and culture of a new Systems Engineering team with a strong bias toward practical impact. ABOUT YOU * Remote in North America (SF preferred). * Strong full-stack engineer with TypeScript, React, Node.js, APIs, and backend services. * Experienced building internal tools, workflow automation, data products, platform systems, or AI-powered applications. * Strong product instincts and a sharp sense for what users actually need to get work done. * Familiar with GTM workflows, with an ability to go deep on how Sales, Marketing, Customer Solutions, and RevOps teams operate. * Understands or is eager to learn concepts like pipeline generation, deal stages, customer lifecycle workflows, account data, handoffs, forecasting, enablement, and operational reporting. * Systems thinker who can turn operational friction into intuitive tools, reliable workflows, and strong UX patterns. * Demonstrated understanding of AI as an operating model, including agents, tool use, structured context, prompts, evals, and automation. * Cares deeply about trust, data quality, governance, and systems people can confidently rely on. * Comfortable with ambiguity and able to turn loosely defined business problems into shipped technical solutions. * Clear communicator who can explain technical tradeoffs to both technical and non-technical stakeholders. * Balances rapid experimentation with reliability, observability, access control, and maintainable architecture. * Energized by work that compounds across GTM teams and helps Sanity operate faster and better. NICE TO HAVE * Experience in GTM Engineering, Revenue Operations, Sales Engineering, Solutions Engineering, Customer Success tooling, or software engineering applied to GTM workflows. * Experience working with CRM, marketing automation, sales engagement, customer success, support, data warehouse, or business intelligence systems. * Experience building AI/LLM-powered workflows in production, including prompt design, API orchestration, agent design, evals, and human-in-the-loop systems. * Experience building demo tooling, enablement systems, knowledge systems, or internal centers of excellence. * Background driving adoption, documentation, enablement, or change management for internal tools. * Prior experience dogfooding your own company’s product or building internal systems on top of a highly composable platform. WHAT WE CAN OFFER * A highly skilled, inspiring, and supportive team. * A positive, flexible, and trust-based work environment that encourages long-term professional and personal growth. * A global, multiculturally diverse group of colleagues and customers. * Comprehensive health plans and perks. * A healthy work-life balance that accommodates individual and family needs. * Competitive stock options program and location-based salary. WHO WE ARE 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.

Manager I, Engineering - AI Platform - Training & Serving

Datadog

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research.  As an engineering manager for the Training & Serving team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: distributed training of foundation models, serving at scale, designing the user experience.  You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up.  At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.   What You’ll Do:  * Manage and grow the Training & Serving team, directly managing 10+ engineers * Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap.  * Work with our core platform teams to tailor Datadog's storage, infrastructure and data pipelines to our needs * Create a strong team culture aligned with our engineering standards and our customer focus * Participate in hands-on work: Code reviews, design reviews and some coding   Who You Are:  * Previous experience (1+ years) leading software engineering teams, as a tech lead or people manager * Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader * Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams * Interested in working on an early stage project with many challenges to solve and a fast iteration cycle * You build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders * You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments * You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output * Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.    Benefits and Growth:  * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intradepartmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Access to Inclusion Talks, our Internal panel discussions * Free, global mental health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.