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NEXTMOVEFDE careers · United States
Madhive

AI Code Engineering Lead

AI summary of the role

Madhive seeks an AI Code Engineering Lead to build and scale an agentic coding platform, making AI generate production code with engineers reviewing.

What you’ll do

  • Own AI-native engineering practice, eval harness, reusable AI building blocks, and developer tooling
  • Manage a portfolio of velocity V1s, ensuring integration into the CTO's org
  • Facilitate smooth handoffs to engineering with named owners for each acceleration V1
  • Codify reusable 'golden path' playbooks and feed learnings back to platform teams

What you’ll bring

  • 10+ years experience shipping production code at staff scope
  • Evidence of driving org-wide adoption of engineering practices or tools
  • Expertise in agentic coding tools across the full SDLC, including eval/observability frameworks
  • Hands-on experience with evaluation-driven development and eval harnesses

Technologies

AI coding agents · eval harness · observability frameworks · CI/CD · testing · agentic coding · golden path playbooks · deployment patterns · connector templates · building-block templates

Source and classification

Internal deployment & tooling · Evidence for this classification:

agentic coding platform — the tooling and workflows that let AI generate production code with engineers reviewing rather than writing it. This is a hands-on role: you'll work directly with engineering teams to ship acceleration fast, then turn what works into reusable building blocks the whole org can use. You'll lead through technical credibility and influence. This is a hybrid role, working 3 days a week at Madhive HQ in the Financial District of New York City. Key Responsibilities Own AI-native engineering practice, the eval harness, reusable AI building blocks, and developer tooling that dramatically raise output. Manage a portfolio of velocity V1s, ensuring each is integrated into the CTO’s org (which owns architecture, delivery, and V2). Facilitate smooth handoffs to the engineering organization; ensure every acceleration V1 lands in the CTO’s org with a named owner
More from the job description

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. AI Code Engineering Lead Madhive is seeking an AI Code Engineering Lead to make our engineering dramatically faster with AI-native practice and tooling. Madhive is an R&D company; engineering velocity is the leverage point. You'll build and scale our agentic coding platform — the tooling and workflows that let AI generate production code with engineers reviewing rather than writing it. This is a hands-on role: you'll work directly with engineering teams to ship acceleration fast, then turn what works into reusable building blocks the whole org can use. You'll lead through technical credibility and influence. This is a hybrid role, working 3 days a week at Madhive HQ in the Financial District of New York City. Key Responsibilities Own AI-native [... source excerpt omitted ...] at You’ll Bring Technical Excellence: A builder who clears a staff-engineer bar (10+ years experience) at a strong company and still wants to ship. You have a history of shipping production code at staff scope. Adoption Leadership: Evidence of driving adoption of at least one engineering practice or tool to org-wide scale through Product & Engineering organizations. Tool Fluency: Expertise in agentic coding tools across the full SDLC (AI coding agents, eval/observability frameworks, CI/CD, testing). Experience building or running an eval harness is essential. Mindset: Grit in ambiguous problems and curiosity about business mechanics. You reason rigorously about how AI can infla

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