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Profound

AI answer-engine visibility analytics for brands

Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • 10+ years of experience.
  • Strong production Rust proficiency, including having shipped and operated Rust systems and the ability to coach engineers, understand technical tradeoffs, and support the technical lead.
  • Direct engineering management experience, including hiring, coaching, performance management, and delivery accountability, with evidence of helping engineers grow and teams become more effective.
  • Experience building and operating complex backend or platform systems, including understanding failure modes as usage and complexity grow.
  • Ability to earn the trust of senior engineers and technical leads through clear expectations, sound judgment, and follow-through; delegate technical ownership while remaining informed and supportive.
  • Ability to balance team health, delivery commitments, and technical investment, making capacity and priority decisions explicit.
  • Ability to communicate clearly across engineering, product, and other partners, especially when requirements are ambiguous or priorities change.

Responsibilities

  • Hire and develop a strong team of engineers; set clear expectations, give direct feedback, and build a culture of ownership, trust, and accountability.
  • Own team planning and delivery with product and the technical lead by making priorities, capacity, and dependencies explicit and turning broad goals into achievable milestones.
  • Coach engineers through one-on-ones, career development, and performance conversations; understand what each person needs to grow and help them do their best work.
  • Partner closely with the technical lead, who owns architecture and technical direction; ensure the team has the context, capacity, and support to execute, and use Rust experience to ask informed questions and understand risks.
  • Identify delivery risks early, remove organizational blockers, coordinate cross-team dependencies, and communicate progress and changes clearly.
  • Build sustainable team practices around on-call, incidents, and support; balance operational work with planned delivery, protect team health, and ensure improvement work has an owner and time to get done.
  • Coordinate with product and partner engineering teams, including the team building the agent harness, to align priorities and handoffs across agent execution, automations, and collaborative tools.

Desired Qualifications

  • Experience with workflow engines, durable execution, scheduling, or event-driven systems.
  • Experience building collaborative documents, spreadsheets, file or artifact systems, project workspaces, or calendar products.
  • Experience building products where people and agents work together.
  • Experience growing an engineering team while maintaining technical quality and clear ownership.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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