What does a Forward Deployed Engineer do at Adverity?

Forward Deployed Engineers at Adverity are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer role?

The Forward Deployed Engineer role at Adverity typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Adverity remote?

Remote availability varies by Adverity FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Adverity

Forward Deployed Engineer

$130K - $160K New York, NY, US Mid Posted October 14, 2026

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Role Description

We are launching Atlas, our newest cutting-edge AI product, and we are looking for a high-impact Forward Deployed Engineer (FDE) to sit right at the intersection of AI, marketing data engineering, and enterprise consulting.

As an FDE, you are embedded directly on the frontlines with top global advertisers, agencies, and enterprise clients. You will lead technical discovery, design custom onboarding architectures, build AI automations, and own the conversion of 3-month product trial discoveries into long-term commercial adoption. You will act as a hybrid technical expert, AI practitioner, and strategic consultant, serving as the core engine powering our product's structural moat.

Some of the things you'll work on:* Act as an embedded domain expert during onboarding of our newest AI product, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers

Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, deliver tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.

We're excited if you have:* Previous experience in Solutions Consulting, Forward Deployed Engineering, Technical Account Management, Professional Services, or Technical Implementation within a SaaS company or Media Agency.

Essential Experience in Digital Marketing: Strong foundation in ad tech, attribution models, agency workflows, or performance marketing data.
Technical Proficiency: Comfortable working with SaaS platforms, REST APIs, dataset mapping, and data automation tools.
Advanced Prompting & AI Skills: Demonstrated track record of using AI tools to build workflows, summarize insights, or code automations.
Bachelor’s Degree in an analytical, technical, or business discipline.

Are you ready to apply?

The base salary we offer is USD 130,000–160,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

We look forward to meeting you!

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.