6 часов назад
Solutions Engineer (AI)
100 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Engineer (AI) (AI-powered experimentation): Leading technical onboarding and maintaining integrations for AI-driven A/B testing, landing pages, and personalization experiences with an accent on frontend implementation, analytics instrumentation, and client-facing technical delivery. Focus on debugging LCP and anti-flicker performance issues, validating browser-to-dashboard data pipelines, and coordinating multiple enterprise client workstreams.
Location: SF Bay Area
Salary: $100,000–$170,000 per year, plus equity
Company
builds AI agents that design, code, and deploy A/B tests, landing pages, and personalized web experiences for growth and conversion optimization.
What you will do
- Lead technical onboarding from kickoff through go-live across client websites.
- Integrate and validate analytics data pipelines using GA4, Segment, Amplitude, and custom data layers.
- Advise clients on metric selection and measurement setup.
- Diagnose integration issues, QA-test implementations, and resolve frontend performance problems including LCP and anti-flicker issues.
- Translate business goals into technical requirements and coordinate between client developers and internal engineering.
- Manage multiple enterprise client workstreams while maintaining quality and responsiveness.
Requirements
- At least 3 years of experience in a technical client-facing role such as implementation engineering, technical account management, or post-sale solutions engineering.
- Strong frontend skills with HTML, CSS, and JavaScript, including the ability to build and debug test variants.
- Experience with GA4, Segment, Amplitude, Heap, or similar analytics platforms.
- Practical experience debugging LCP constraints, anti-flicker implementations, SSR environments, and tag management issues.
- Ability to manage competing priorities across multiple client engagements.
Nice to have
- Experience with Optimizely, VWO, LaunchDarkly, or similar experimentation platforms.
- Familiarity with Google Tag Manager or Tealium.
- Exposure to Shopify or headless commerce environments.
- Interest in AI-powered experimentation and autonomous agents.
Culture & Benefits
- Flexible unlimited paid time off.
- Medical, dental, and vision coverage for employees and their families.
- 401(k) with employer match.
- Daily in-office meals.
- Wellness benefit and gym membership.
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