Implementation Engineer

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

About The Role

This role sits on our customer-facing services team and is the technical backbone of how our clients go live and stay live. You are the person who makes integrations work, keeps experiments running cleanly, and unblocks the technical issues that stand between a client and results.

Responsibilities

• 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.

Requirements

• Minimum 3 years (more preferred) in a technical client-facing role: implementation engineering, technical account management, solutions engineering post-sale, or similar.
• 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.
• Knowledge of the analytics stack: experienced with GA4, Segment, Amplitude, or Heap and understand how data moves from a browser event to a dashboard.
• Debugged real performance problems: LCP constraints, anti-flicker implementations, SSR environments, and tag management issues are familiar territory, not new concepts.
• Ability to manage competing priorities across multiple client engagements without dropping quality.

Skills

• 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