Content Marketing

The role As our first customer and demand generation marketer, you'll uncover and tell the stories behind the work happening across Applied Compute. You'll act as an internal journalist and investigator: talking with our engineers, researchers, product teams, and customers to find the ideas, technical breakthroughs, and results worth sharing. You'll shape those insights into a thoughtful content strategy spanning research, technical blog posts, customer stories, events, and campaigns—and build the programs that put them in front of CTOs, Heads of AI, and engineering leaders. What you'll do Content, research, and customer stories Act as an internal journalist: build relationships with our engineers, researchers, product teams, and customers; ask sharp questions; and uncover the stories, insights, and technical work worth sharing Own a content strategy and editorial calendar spanning research, technical blog posts, customer stories, video, talks, and joint customer content Work closely with our platform and product teams to understand the roadmap, identify the right moments to begin shaping positioning and storytelling, and stage the work well ahead of launches Partner closely with design to turn ideas into clear, compelling content across formats and keep production moving from brief through publication Run our customer advocacy program, including references, quotes, logo approvals, and co-marketing with customers who want to talk about what they built Turn research and engagement results into durable proof points our sales team can use in every conversation Demand generation Own marketing sourced and influenced pipeline, and build the reporting that shows what is working and what isn't Design and run account based programs for a named list of enterprise accounts in partnership with our account executives Build email, nurture, and paid programs for a technical audience that ignores most marketing Events and community Own our event strategy, from our fireside chat series with enterprise leaders and executive dinners to our presence at industry conferences and partner events Make every event produce something durable, whether that is a recording, a story, or a relationship that turns into a deal What we're looking for You're a deeply curious writer and storyteller who gets excited about investigating how something works, sitting with an engineer or researcher, and turning the conversation into a story an executive would forward A track record of building programs, systems, or content engines from zero to one rather than inheriting an established playbook Exceptional attention to detail and organizational rigor. You can manage a complex editorial calendar, coordinate many contributors, and reliably move work from idea to publication Strong editorial judgment: you know which ideas are worth pursuing, which format will serve them best, and how to make technical work compelling without losing accuracy Comfort with numbers. You can tell us what a program cost, what it produced, and whether we should run it again Enough curiosity about AI and machine learning to learn how post-training and inference actually work, and to talk about them accurately Strong candidates also have Experience marketing AI infrastructure, developer tools, or data platforms to enterprise buyers Produced video or podcast content, or run a customer story program that people actually watched and shared A network across enterprise engineering and AI leadership AI tools built into how you work every day The U.S. base salary range for this full-time position is $115,000–$225,000 . Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use. Why we’re excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed. Who we are : We’re a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks. Who Thrives Here : We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here. Benefits & Logistics This role is based in San Francisco. We work from our office in the Mission. We offer: Competitive compensation and equity 100% employer-paid health insurance coverage for you and your family Unlimited PTO Paid parental leave Daily lunches and dinners Transportation and relocation support 5% 401k match We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.