Senior Manager, Software Engineering; Infrastructure

Senior Manager, Software Engineering (Infrastructure) Remote

Location:

Boston, MA;
Austin, TX; or Washington, DC Position Summary

Hacker One is seeking a Senior Engineering Manager to lead our Infrastructure and Core Platform organization. This role is critical to scaling an AI‑first security platform that powers the world’s largest hacker community. You’ll own the foundations that product teams rely on: cloud infrastructure, developer platforms, reliability, security, and the systems that make AI‑driven product delivery possible.

This is a people‑first, systems‑level leadership role
. You’ll lead a platform organization with broad scope and responsibility. Initially with a focused team, and over time expanding to multiple teams or domains. You’ll develop strong engineering managers and senior ICs, while ensuring our platform is secure, resilient, cost‑effective, and capable of supporting increasingly sophisticated workloads, including AI/LLM and MLOps.

At Hacker One, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Boston, Austin, or Washington DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in‑person moments that enrich our culture – while still preserving the benefits of remote work.

• Lead and scale the Infrastructure / Core Platform domain
  , managing multiple teams responsible for cloud infrastructure, internal platforms, reliability, and core services.
• Enable AI‑first product delivery at scale by providing robust foundations for LLM workloads, agentic systems, data pipelines, model evaluation, and secure model serving.
• Set a clear technical and operational vision for infrastructure that balances reliability, velocity, security, and cost.
• Partner closely with Product, Security, and Engineering Leadership to align platform investments with business and product strategy.
• Drive operational excellence
  : availability, incident management, capacity planning, disaster recovery, and clear SLOs.
• Establish and evolve platform standards for CI/CD, observability, infrastructure‑as‑code, service ownership, and developer experience.
• Lead teams responsible for cloud cost management, performance optimization, and scalability
  , especially as AI workloads grow.
• Coach and develop senior+ Infrastructure engineers, setting clear expectations and growth paths, while raising the overall talent bar through strong hiring, onboarding, and succession planning.
• Guide teams through change and ambiguity
  , including fast‑evolving AI infrastructure needs and shifting organizational priorities.
• Contribute to org‑wide engineering strategy, planning, and execution as a senior member of the engineering leadership team.
• Own strategic relationships with key Infrastructure and SaaS vendors, including contract negotiations and amendments, usage and spend oversight, roadmap alignment, and evaluation of new capabilities as platform needs evolve.
• Partner closely with Finance and Procurement to lead cloud cost management and optimization, including cost allocation, forecasting, budgeting, and governance models that scale sustainably with growing AI workloads.

• 5+ years of engineering management experience
  , including leading managers and/or multiple teams.
• Strong prior experience as a software, platform, or infrastructure engineer
  , with the ability to engage deeply on technical strategy and trade‑offs.
• Proven experience owning production infrastructure at scale
  , including cloud platforms, reliability, security, and developer enablement.
• Bonus:
  Interest in or exposure to AI/ML systems (such as LLM workloads, data pipelines, model serving, MLOps, or evaluation frameworks), including learning or personal development in this area — hands‑on model development is not required.
• A track record of data‑driven decision making across reliability, cost, capacity, and delivery.
• Ability to apply first‑principles thinking to…