Sr. Marketing Content Strategist, AI Visibility

Category-defining tech. Career-defining work. Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head‑on and focus on solutions that create lasting impact. Because when our customers win, we all win. The Role We're hiring a Sr. Marketing Content Strategist to help evolve and scale our content strategy for an AI‑first, answer‑driven landscape. This role sits within the Corporate Marketing function and reports directly to the Head of Corporate Marketing. You'll play a foundational role in shaping how Cockroach Labs structures, governs, and operationalizes content across the organization. This is not primarily a writing role. It's about building the systems, governance, and cross‑functional processes that ensure our content is structured, discoverable, reusable, and optimized for both humans and LLMs — sitting at the intersection of content strategy, SEO/AEO, marketing operations, product marketing, and analytics. Your work will ensure Cockroach Labs' content is built for AI visibility, search discoverability, and measurable business impact by default, not as an afterthought. Build Scalable Content Systems Design and implement content frameworks aligned to search engines, answer engines, and AI agents Define structured content models including taxonomy, metadata, schema, and modular architecture Partner with Web and Digital teams to ensure technical implementation supports discoverability and reuse Establish governance standards that enable content reuse across channels, regions, and formats Lead Answer Engine Optimization (AEO) Translate AI search and AEO trends into actionable content architecture Develop guidelines for machine‑readable, structured, and citation‑friendly content Optimize content for LLM retrieval, featured snippets, and zero‑click experiences Build feedback loops to measure and improve visibility across AI‑driven surfaces Design Content Operations Create scalable intake, production, and publishing workflows Define RACI models across Product Marketing, Brand, Demand Gen, and Comms Standardize briefs, templates, QA processes, and performance reporting Evaluate and evolve the content tech stack (CMS, DAM, AI tools, SEO tools) Orchestrate Cross‑Functional Alignment Align stakeholders across Marketing, Product, and Sales around shared frameworks Train internal teams on structured content best practices Serve as the connective layer between strategy and execution Measure & Optimize Define KPIs for discoverability, answer visibility, and content reuse efficiency Build dashboards that connect content performance to pipeline and authority Identify operational bottlenecks and continuously improve throughput and quality The Expectations In your first 30 days, you'll immerse yourself in our content ecosystem, meet key stakeholders across Marketing and Product, and audit our current content systems and workflows. By 60 days, you'll define a scalable content architecture framework and begin piloting structured models with a priority team. By 90 days, you'll implement governance standards, launch measurable AEO initiatives, and establish performance dashboards that tie content structure to business impact. You Have 6‑8+ years of experience in content strategy, SEO, content operations, or marketing operations Deep understanding of technical SEO, and evolving search behavior Background in B2B or technical marketing Experience designing scalable workflows across multi‑team, fast‑moving environments A systems‑thinking mindset — you see content as an asset, not an output Proven ability to influence without authority and drive alignment across cross‑functional teams Comfort operating in environments where AI is reshaping discovery and engagement Nice to Have Experience optimizing content for LLM retrieval or answer engines Exposure to schema or structured content approaches, with curiosity to go deeperExperience implementing or evolving CMS and marketing technology systems Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at View email address on click.appcast.io. Cockroach Labs has a hybrid work model, with Roachers that are local to one of our offices coming in on Mondays, Tuesdays, and Thursdays and working flexibly the rest of the week. While we’ve learned valuable lessons working remotely, nothing can replace the connection, creativity, and fun that occurs when Roachers get together and we are committed to fostering a workplace that encourages collaboration and allows us all to do our best work. Benefits Stock Options Medical Insurance Vision Insurance Dental Insurance Life and Disability Insurance Professional Development Funds Flexible Time Off Paid Holidays Paid Sick Days Paid Parental Leave Retirement Benefits Mental Wellbeing Benefits And more! The annual anticipated base salary range for U.S. candidates for this role is listed in USD below. Salary is one component of the Cockroach Labs’ Total Rewards package, which also includes, for each employee: stock options, medical insurance, vision insurance, dental insurance, life and disability insurance, funds towards professional development resources, flexible paid time off, 11 paid holidays a year, 10 paid sick days a year, paid parental leave, a 401(k) plan, and wellbeing benefits. We set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. Salaries for candidates outside the U.S. will vary based on local compensation structures. This position will remain posted until filled. Applicants should apply via our Careers Page. Annual Anticipated Base Salary Range (U.S)

$150,000—$185,000 USD