Forward Deployed Engineer Job New York New York USA,IT/Tech

Location: New York

Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive’s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes.

Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media.

Forward Deployed Engineer
About the Role

As a Forward Deployed Engineer (FDE) at Mad Hive, you are a hybrid technical leader operating at the intersection of solution architecture, executive client partnership, and hands‑on engineering.

You serve as the technical cornerstone for our most strategic enterprise clients. Your role is to understand the client's deepest business challenges, architect scalable technical solutions using Mad Hive’s infrastructure, and build the trusted relationships required to guide them through complex digital transformations. While you are a capable solutions architect / coder who can integrate systems, you are equally a strategist and a trusted advisor.

You thrive in ambiguous environments, possessing the executive presence to align client leadership and the technical chops to enable the Madhive technologies that accelerate time-to-value. You will report to the Senior Director of Client Solutions.

This is a hybrid role, working 3 days a week at Madhive HQ in the Financial District of New York City with travel to other Madhive locations or clients approximately 25-50%.

Core Responsibilities

Enterprise Solutioning & Architecture

Strategic Systems Design:
Lead technical discovery and whiteboard sessions with enterprise clients to map their business objectives to comprehensive, end-to-end technical architectures.
Workflow Optimization:
Analyze client legacy systems, data landscapes, and operational bottlenecks, designing solutions that seamlessly embed Mad Hive’s platform (DSP, Workflow) into their existing ecosystem.
Unblock Technical Hurdles:
Act as the ultimate technical problem solver, designing pragmatic workarounds and custom implementation strategies for unique client constraints.

Client Relationship & Stakeholder Management

Trusted Technical Advisor:
Serve as the primary technical face of Mad Hive for your assigned clients. Build deep, lasting relationships with client stakeholders ranging from AdOps managers to CTOs and VPs of Engineering.
Expectation Management:
Navigate complex client dynamics, manage technical expectations, and align client business goals with Mad Hive’s delivery timelines.
Cross-Functional Leadership:
Partner closely with internal Mad Hive teams (Sales, Client Success, Product, and Core Engineering) to ensure a unified front and seamless client experience from pre-sales through long-term stabilization.

Pragmatic Execution (The "Connective Tissue")

Product Feedback Loop:
Synthesize your on-the-ground technical learnings. When custom code or workflows show recurring value across multiple clients, collaborate with Product & Core Engineering to translate those solutions into scalable core platform features.
Tie together all technical aspects such as problem solving, bug remediation, release planning and management, and new feature rollout in a cohesive comprehensive plan.
User, Advocate, Expert, and Enabler of AI technologies in the Madhive eco system and adtech domain.
Rapid Prototyping:
Build functional prototypes, automation scripts, and lightweight tooling to accelerate onboarding and prove technical feasibility during critical deployment phases.

What We Look For (Requirements)

Hybrid Experience
- 4+ years of experience in a client-facing technical role such as Solutions Architecture, Forward Deployed Engineering, Technical Consulting, or high-level Sales Engineering.
Architectural Mindset
- Deep understanding of enterprise systems integration, AdTech integrations and value propositions, and complex data workflows.
Programming…