Senior Manager, Web Technology

USD 183,900-220,600 per year
SENIOR
✅ Remote

Used Tools & Technologies

Not specified

Required Skills & Competences

SEO @ 3 Marketing @ 4 Security @ 4 Grafana @ 4 TypeScript @ 4 Leadership @ 4 Communication @ 4 Mentoring @ 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

Details

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe. Grafana Labs helps more than 3,000 companies manage their observability strategies with the Grafana Stack.

This is a remote position and we're considering candidates in the US.

Role overview

As Senior Manager, Web Technology, you will own the technical execution, platform strategy, and operational excellence of grafana.com and its surrounding digital experiences. You will lead the web development team and serve as the marketing organization’s primary technical leader for the website. You will 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.

This role sits at the intersection of engineering craft, marketing velocity, AI-enabled transformation, and business impact. You will partner closely with creative, content, communications, demand generation, regional marketing and events, marketing operations, docs, infrastructure, security, and product teams.

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 stability, security, performance, dependability, and ease of evolution. Define standards for reliability, incident handling, operational visibility, platform health, performance, and security hygiene.
  • Improve delivery predictability: own operating cadences for roadmap reviews, stakeholder updates, prioritization, and delivery accountability. Use automation and AI-assisted workflows to reduce coordination overhead and improve clarity.
  • Build better digital experiences: partner with marketing, product, design, and engineering stakeholders to create a more seamless path from website visit to product trial and activation across different user intents.
  • 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; build AI-first development practices; clarify ownership; and help each person increase their impact and strategic contribution.

Requirements / What Makes You a Great Fit

  • 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 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 turn ambiguous business needs into clear technical plans, priorities, timelines, tradeoffs, and decisions.
  • Operational mindset focused on improving delivery through better systems.
  • Experience mentoring and developing engineers through 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, and 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.

Success metrics

  • 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.
  • Practical AI-enabled systems that improve team velocity, quality, and user experience.

Bonus

  • 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

  • US compensation range: $183,858 - $220,630. Actual compensation may vary based on level, experience, and skillset. All roles include Restricted Stock Units (RSUs).

Why You’ll Thrive at Grafana Labs

  • 100% Remote, global culture.
  • Scaling organization with meaningful work in a high-growth environment.
  • Transparent communication, innovation-driven, open source roots, empowered teams, career growth pathways, approachable leadership, passionate people.
  • In-person onboarding; global annual leave policy of 30 days per annum (with 3 Grafana Shutdown Days). Grafana will comply with local legislation where applicable.

Equal Opportunity

Grafana Labs recruits, trains, compensates and promotes regardless of race, religion, color, national origin, gender, disability, age, veteran status, and other characteristics. The company may utilize AI tools in recruitment but continues to review CVs manually.