Forward Deployed Engineer

AirOps is a full-service platform for brand growth in the age of AI search. The Forward Deployed Engineer will work directly with enterprise clients to configure and scale AI search growth playbooks, monitor performance, and drive measurable outcomes. The role also partners cross-functionally to improve customer delivery, product capabilities, and repeatable service motions.

Responsibilities:

• Partner directly with enterprise customers to understand their goals, translate them into clear delivery plans, and drive measurable outcomes across AI search visibility and growth
• Configure, adapt, and scale AirOps playbooks across customer accounts and verticals, helping turn repeatable delivery patterns into stronger product and service motions
• Work cross-functionally with Product, Customer Success, Sales, Growth, and Marketing to align customer needs, product capabilities, and expansion opportunities
• Monitor performance data, identify trends and risks, and communicate recommendations to customers and internal stakeholders
• Bring field feedback back into the product and delivery teams to improve the AirOps platform, customer experience, and future playbooks

Requirements:

• 4 to 7 years in Growth, BizOps, Product, Technical Account Management, Analytics, Solutions, Customer Success, or a similar role at a high-growth startup
• Experience working directly with enterprise customers, translating business goals into clear execution plans and measurable outcomes
• Hands-on experience using AI tools, LLMs, prompt engineering, or automation platforms to improve processes and scale repeatable work
• Strong analytical skills, with the ability to interpret performance data, identify patterns, and turn insights into recommendations
• Excellent project management and communication skills, with the ability to keep internal teams and customers aligned across multiple workstreams
• High ownership, strong judgment, and comfort operating in a fast-moving environment where customer needs, product feedback, and delivery priorities intersect
• Familiarity with AI search, GEO/AEO strategy, or how brands are discovered across LLMs and answer engines
• Comfort working with data from tools like Google Search Console and GA4
• Experience at an early or growth-stage B2B SaaS company
• Experience turning customer feedback into product recommendations, internal documentation, or enablement materials