Senior Manager, Software Engineering (Infrastructure)
About The Position
HackerOne 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 HackerOne, 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.
Requirements
- 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.
- A track record of data-driven decision making across reliability, cost, capacity, and delivery.
- Ability to apply first-principles thinking to complex systems and organizational problems.
- Strong change agility — comfortable leading teams through evolving architecture, tooling, and AI-driven shifts.
- Excellent communication skills, with the ability to influence across Product, Security, and Engineering.
- Based in the East Coast U.S., with the ability to work effectively across Boston, Washington DC, or Austin hubs.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Health (medical, vision, dental), life, and disability insurance
- Equity stock options
- Retirement plans
- Paid public holidays and unlimited PTO
- Paid maternity and parental leave
- Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
- Employee Assistance Program
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
