Senior Manager, Web Technology

📍 United States

USD 183,900-220,600 per year

SENIOR

✅ Remote

Tech Stack
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.

AI @ 4 Experimentation @ 4 GEO @ 3 Grafana LLM @ 4 Marketing @ 7 Next.js @ 4 Observability @ 4 QA @ 4 React @ 6 Reporting @ 4 SEO @ 3 Search Engines Security @ 4 TypeScript @ 6 Web Development

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 leads the web development team and serves as the marketing organization’s primary technical leader for the website.

The position focuses on AI-enabled website transformation, reliable and scalable web platforms, operational excellence, self-serve web operations, and digital experiences that move users from interest to product trial and activation. The role partners with creative, content, communications, demand generation, regional marketing and events, marketing operations, docs, infrastructure, security, and product teams.

Responsibilities

Drive 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 digital user journeys 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 while raising technical standards, clarifying ownership, and building AI-first development practices.
Improve measurable outcomes across reliability, content velocity, self-serve adoption, discoverability, funnel performance, AI-enabled efficiency, and user engagement.

Requirements

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 communicate effectively with experienced engineers, marketing stakeholders, and executives.
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 effective systems.
Experience developing engineers through mentorship, accountability, and meaningful ownership.
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 for marketing, content, events, and regional teams.
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.

Compensation And Benefits

US compensation range: $183,858–$220,630 per year.
Restricted Stock Units (RSUs) are included with all roles.
100% remote global culture.
In-person onboarding.
Global annual leave policy of 30 days per annum, including 3 Grafana Shutdown Days.
Career growth pathways, transparent communication, empowered teams, and an innovation-driven environment.