Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
SEO @ 3
Marketing @ 4
Security @ 4
Grafana @ 4
TypeScript @ 4
Hiring @ 4
Next.js @ 4
React @ 4
Prioritization @ 4
Web Development @ 4
Search Engines @ 4
Experimentation @ 4
Reporting @ 4
QA @ 4
LLM @ 4
Observability @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Grafana Labs is a remote-first, open-source company building observability tooling used by millions globally. The Senior Manager, Web Technology will own the technical execution, platform strategy, and operational excellence of grafana.com and related digital experiences. This role leads the web development team and serves as the marketing organization’s primary technical leader for the website, driving AI-enabled transformation, operational reliability, and faster, more self-serve content operations.
Responsibilities
- Lead AI-enabled website transformation: evolve 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 web platform: ensure the marketing website 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: establish operating cadences for roadmap reviews, stakeholder updates, prioritization, and delivery accountability. Use automation and AI-assisted workflows to reduce coordination overhead.
- Build better digital experiences: partner with marketing, product, design, and engineering to improve conversion paths from visit to trial and activation across different user intents and journeys.
- Scale self-serve web operations: make the site easier for internal teams to edit and maintain via strong CMS models, reusable patterns, content and UX guardrails, documentation, and governance.
- Lead and grow the web team: manage, mentor, and develop web developers; raise technical standards; clarify ownership; and help the team adopt AI-first development practices.
Requirements
- Strong point of view on how AI will change web strategy, web operations, and digital user experiences, and ability to turn that into practical systems, workflows, experiments, and measurable improvements.
- Strong technical judgment; able to earn trust of senior engineers while communicating with marketing and executive stakeholders.
- Experience leading web engineering teams and building reliable, scalable, high-performing web platforms with operational discipline and delivery predictability.
- Deep 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 clear technical plans, priorities, timelines, tradeoffs, and decisions.
- Operational mindset focused on improving delivery through systems and automation rather than last-minute heroics.
- Demonstrated ability to grow engineering talent through mentorship, accountability, and meaningful ownership.
- Experience with technologies and tools such as Next.js, React, TypeScript, Tailwind, Storyblok, Vercel, Algolia, RudderStack, BigQuery, AirOps, and similar tools.
- Experience using AI to improve engineering workflows, QA, documentation, planning, analytics, experimentation, or operational reporting.
- Experience building AI-enabled web experiences, agent-ready content systems, personalization, chat experiences, or LLM-optimized websites.
What Success Looks Like
- 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.
Bonus / Nice-to-have
- Familiarity with AEO, GEO, SEO, structured content, and how AI assistants consume website information.
- Experience supporting developer, infrastructure, observability, cloud, or open source audiences.
Compensation & Rewards
- Canada compensation range: $186,368 CAD - $223,642 CAD (country-specific; other markets will have different ranges).
- All roles include Restricted Stock Units (RSUs).
Location & Work Model
- This is a remote position; Grafana Labs is remote-first and is considering candidates in Canada.
- In-person onboarding is part of the hiring process.
Additional Notes
- Grafana Labs may utilize AI tools in its recruitment process to assist in matching CVs to job postings. The recruitment team will continue to review inbound CVs manually.