Implementation Engineer

Method Recruiting

San Francisco (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Unlimited Paid Time Off
Medical, Dental, and Vision for you &/
401k with match
Daily in-office meals
Wellness benefit and gym membership

Job summary

Method Recruiting client, a San Francisco AI technology company, seeks a technically adept client-facing engineer to onboard platforms across client sites and orchestrate analytics integrations. You will advise on metric setup, diagnose performance issues, and bridge business goals with engineering teams.

With 3+ years in client-facing roles, you will tackle LCP optimization, SSR environments, and complex tag management while juggling multiple enterprise engagements.

Qualifications

  • 3+ years in a technical client-facing role (more preferred).
  • Strong front-end chops: write/debug HTML, CSS, and JavaScript. Build a test variant from scratch and know why it broke.
  • Experience with GA4, Segment, Amplitude, or Heap and understand how data moves from a browser event to a dashboard.
  • Familiarity with performance optimization: LCP constraints, anti-flicker implementations, SSR environments, tag management.
  • Ability to manage multiple client workstreams without dropping quality.

Responsibilities

  • Lead technical onboarding end-to-end: integrate platform across client websites, working with client engineering teams from kickoff to go-live.
  • Own analytics integrations: instrument and validate data pipelines across GA4, Segment, Amplitude, and custom data layers; advise on metric selection.
  • Diagnose and debug: troubleshoot integration issues, QA testing, and resolve front-end performance problems including LCP optimization and anti-flicker across browsers and devices.
  • Be the technical bridge: translate business goals into technical requirements and coordinate between client developers and our internal engineering team.
  • Manage a portfolio of accounts: keep multiple enterprise client workstreams on track with quality and responsiveness.

Skills

HTML/CSS/JS
GA4/Segment/Amplitude
Frontend debugging
Client-facing

Tools

Google Tag Manager
Tealium
Optimizely

Job description

Our client is an AI technology company. 5x in office - San Francisco

What You'll Do
  • Lead technical onboarding end-to-end: integrate platform across client websites, working directly with client engineering teams from kickoff through go-live.
  • Own analytics integrations: instrument and validate data pipelines across GA4, Segment, Amplitude, and custom data layers. Advise clients on metric selection and measurement setup.
  • Diagnose and debug: troubleshoot integration issues, QA test implementations, and resolve front-end performance problems including LCP optimization and anti-flicker across browsers, devices, and tech stacks.
  • Be the technical bridge: translate between client business goals and technical requirements, and between client developers and our internal engineering team.
  • Manage a portfolio of accounts: keep multiple enterprise client workstreams on track simultaneously without losing quality or responsiveness.
You May Be a Fit If
  • Minimum 3 years (more preferred) in a technical client-facing role: implementation engineering, technical account management, solutions engineering post‑sale, or similar.
  • You have strong front-end chops: comfortable writing and debugging HTML, CSS, and JavaScript. You can build a test variant from scratch and know why it broke.
  • You know the analytics stack: experienced with GA4, Segment, Amplitude, or Heap and understand how data moves from a browser event to a dashboard.
  • You have debugged real performance problems: LCP constraints, anti-flicker implementations, SSR environments, and tag management issues are familiar territory, not new concepts.
  • You can manage competing priorities across multiple client engagements without dropping quality.
  • Bonus Points Experience with Optimizely, VWO, LaunchDarkly, or similar experimentation platforms. Familiarity with Google Tag Manager or Tealium. Exposure to Shopify or headless commerce environments. Enthusiasm for AI-powered experimentation and autonomous agents.
Benefits
  • Flexible (Unlimited) Paid Time Off
  • Medical, Dental, and Vision for you and your family
  • 401k with match
  • Daily in-office meals
  • Wellness benefit and gym membership
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