Senior Manager, Web Technology

Details

Grafana Labs is seeking a Senior Manager, Web Technology to own the technical execution, platform strategy, and operational excellence of grafana.com and its surrounding digital experiences. The role will lead the web development team and serve as the marketing organization’s primary technical leader for the website.

The position will help define how AI changes the website, how the team builds and operates it, how content is structured for humans and machines, and how digital experiences move users from interest to action. The role partners with creative, content, communications, demand generation, regional marketing and events, marketing operations, docs, infrastructure, security, and product teams.

Responsibilities

• Lead the evolution of grafana.com into an AI-first, agent-ready platform optimized for humans, search engines, AI assistants, agents, and LLMs.
• Build practical AI-enabled systems for content workflows, QA, personalization, localization, analytics, experimentation, and web operations.
• Own the marketing website platform, ensuring it is stable, secure, performant, dependable, and easy to evolve.
• Define standards for reliability, incident handling, operational visibility, platform health, performance, and security hygiene.
• Improve delivery predictability through roadmap reviews, stakeholder updates, prioritization, delivery accountability, automation, and AI-assisted workflows.
• Partner with marketing, product, design, and engineering stakeholders to improve the path from website visit to product trial and activation.
• Scale self-serve web operations through strong CMS models, reusable patterns, content and UX guardrails, documentation, and governance.
• Lead, manage, mentor, and develop a team of web developers by raising technical standards, building AI-first development practices, clarifying ownership, and increasing team impact.

Requirements

• A strong perspective on how AI will change web strategy, web operations, and digital user experiences, with the ability to turn that perspective into practical systems, workflows, experiments, and measurable improvements.
• Strong technical judgment and the ability to earn the trust of experienced engineers while communicating clearly with marketing and executive stakeholders.
• Experience leading web engineering teams and building reliable, scalable, high-performing web platforms with strong operational discipline and delivery predictability.
• Understanding of modern frontend engineering, CMS-driven websites, analytics, integrations, performance, security, launch operations, and AI-enabled digital experiences.
• Ability to translate ambiguous business needs into technical plans, priorities, timelines, tradeoffs, and decisions.
• Strong operational mindset focused on improving delivery through better systems.
• Experience developing engineers through mentorship, accountability, and meaningful ownership.
• Focus on measurable impact across reliability, content velocity, self-serve adoption, discoverability, funnel performance, AI-enabled efficiency, and user engagement.
• Experience with Next.js, React, TypeScript, Tailwind, Storyblok, Vercel, Algolia, RudderStack, BigQuery, AirOps, or similar tools.
• Experience using AI to improve engineering workflows, QA, documentation, planning, analytics, experimentation, or operational reporting.
• Experience creating self-serve systems that help marketing, content, events, and regional teams move faster without compromising quality.
• Experience building AI-enabled web experiences, agent-ready content systems, personalization, chat experiences, or LLM-optimized websites.

Bonus Qualifications

• Familiarity with AEO, GEO, SEO, structured content, and how AI assistants consume website information.
• Experience supporting developer, infrastructure, observability, cloud, or open source audiences.

Success Measures

• Predictable, high-confidence delivery with clear priorities and fewer surprises.
• A stable, secure, high-performing web platform with strong operational visibility.
• Faster, more self-serve content operations across marketing teams.
• Improved discoverability, engagement, conversion, and activation through better digital experiences.
• Practical AI-enabled systems that improve team velocity, quality, and user experience.

Compensation And Benefits

• Compensation range in Canada: $186,368 CAD–$223,642 CAD per year.
• Restricted Stock Units (RSUs) are included with all roles.
• 100% remote work in a global culture.
• Career growth pathways and an innovation-driven environment.
• Global annual leave policy of 30 days per annum, including 3 Grafana Shutdown Days.
• In-person onboarding.

Grafana Labs is an equal opportunities employer. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings, while the recruitment team continues to review inbound CVs manually.