Forward Deploy AI Engineer

  • San Francisco, California, United States
  • Full-Time
  • On-Site
  • 175,000-250,000 USD / Year

Job Description:

Location: San Francisco, CA
Type: Full-Time
Base Compensation: $175,000 – $250,000

Overview

The Forward Deploy AI Engineer embeds directly with enterprise and mid-market customers to drive measurable business outcomes. Operating at the intersection of product, growth, and AI-driven search strategy, this role combines strategic thinking with hands-on execution.

You will function as a strategist, operator, and consultant—owning adoption, AI visibility across search platforms, and revenue impact for customers.

This role sits within a venture-backed AI-driven search optimization and marketing infrastructure startup operating in a high-growth category.

What You'll Do

  • Own end-to-end success for a portfolio of enterprise and growth-stage customers
  • Embed directly with marketing, growth, and SEO teams as a hands-on operator
  • Develop and execute AI search optimization and content strategies
  • Identify keyword gaps, competitive insights, and AI visibility opportunities
  • Launch and optimize content within customer CMS environments
  • Monitor performance across AI-driven search ecosystems and generative platforms
  • Translate performance data into actionable strategies that drive traffic, pipeline, and revenue
  • Drive product adoption and workflow integration across customer teams
  • Partner with Sales to identify and support account expansion opportunities
  • Capture structured customer feedback to influence product development
  • Develop case studies tied to measurable business outcomes

Core Requirements

  • 2–6 years of experience in SEO, growth marketing, content strategy, or customer implementation roles
  • Strong understanding of search strategy, demand generation, and marketing analytics
  • Demonstrated ability to manage customer relationships and deliver successful implementations
  • Experience operating within B2B SaaS or marketing technology environments
  • Ability to translate data into clear execution plans
  • Highly proactive mindset with strong ownership orientation
  • Strong communication and stakeholder management skills

Green Flags

  • Experience in high-growth startup environments
  • Comfortable operating cross-functionally and wearing multiple hats
  • Experience interfacing directly with founders and product leadership
  • Familiarity with SEO tooling, CMS platforms, or AI-enabled search technologies

Red Flags

  • No prior customer-facing implementation experience
  • Preference for highly structured corporate environments
  • Experience limited exclusively to large enterprise technology organizations

Interview Process

  1. Introductory Call
  2. Follow-Up Interview
  3. Short Paid Evaluation Period
  4. Offer Decision