HackerOne

Engineering Manager

• 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.

Senior Manager, Software Engineering – Infrastructure

Account Executive

• Own and expand a portfolio of enterprise accounts ($500M+ revenue), driving multi-threaded engagement across Security, Engineering, Product, Risk, Procurement, and executive leadership.
• Develop and execute sophisticated account strategies that increase platform adoption, expand product footprint (e.g., Bug Bounty, Pentesting, AI Red Teaming, Code Security), and drive multi-year revenue growth.
• Apply Data-Driven Decision Making to manage complex enterprise pipelines, forecast accurately, identify whitespace opportunities, and align expansion strategies to measurable customer outcomes and risk reduction metrics.
• Use First Principles Problem Solving to break down enterprise security challenges, clarify stakeholder priorities, and architect durable, scalable solutions aligned to long-term security transformation initiatives.
• Demonstrate AI First thinking by leveraging AI-enabled prospecting, account planning, and sales productivity tools to improve deal velocity, enhance executive preparation, and scale high-quality engagement across large accounts.
• Exhibit Change Agility by navigating shifting enterprise priorities, regulatory environments, product evolution, and competitive pressures while maintaining consistent momentum in long-cycle deals.
• Lead complex negotiations including MSAs, multi-year agreements, security reviews, and enterprise procurement processes in partnership with Legal, Finance, and Sales Engineering.
• Partner cross-functionally with Customer Success, Sales Engineering, Product, Marketing, and Executive Leadership to ensure strong adoption, retention, and expansion within strategic enterprise customers.

Senior Growth Account Executive, Enterprise – Southeast Region

Senior Growth Account Executive, Enterprise

Full-stack Engineer

• Contribute to evolving our AI security agent Hai, implementing features that enable natural language security insights, improved reasoning, and secure action workflows.
• Build components and services that integrate Agentic AI design patterns like AI Orchestration, Memory systems, RAG, Long horizon tasks, LLM-based models into the HackerOne platform, applying an AI-First approach to enhance vulnerability detection and security automation.
• Implement features for AI red teaming agents and evaluation tools that help identify risks in LLMs and applied AI systems, supporting safer model development.
• Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.
• Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility.
• Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making.
• Break down complex AI and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.
• Stay current with emerging AI security trends, contributing findings and learnings to team discussions and implementation planning.

Senior Software Engineer, Applied AI

Sales Operations Manager

• Design and evolve pipeline & forecast analytics across New, Expansion, and Renewal growth, applying Data-Driven Decision Making to drive measurable improvements in progression, growth, forecast accuracy, and pipeline sufficiency.
• Build repeatable dashboards and automated frameworks that reduce manual effort and enable self-service insights for revenue leaders, demonstrating an AI First mindset that prioritizes automation, tooling, and scalable architecture.
• Partner cross-functionally with Sales, Customer Success, Marketing, Partnerships, and Finance to identify conversion gaps, execution risks, and pipeline health issues — adapting priorities with Change Agility as business needs evolve.
• Analyze cohort-based conversion trends (e.g., opportunity-to-booking, expansion attach rates) and translate findings into actionable planning, capacity, and execution implications using First Principles Problem Solving.
• Support renewals and churn visibility work by helping define baselines, directional risk indicators, and forecasting inputs grounded in clear assumptions and consistent definitions.
• Translate analytical outputs into concise narratives, recommendations, and tradeoffs for executive and leadership audiences to support forecast and pipeline cadences.
• Contribute to sales planning activities such as quota modeling, capacity analysis, and performance diagnostics, ensuring deliverables are scalable, reusable, and grounded in principle-led analysis.
• Drive standardization of inputs, definitions, and processes across regions and functions to improve consistency, data quality, and operational efficiency.

Strategic Sales Operations Manager

Senior Account Executive, NA Enterprise

Infrastructure Engineer

• Onboard with your squad and the broader engineering organization
• Learn HackerOne’s infrastructure, tooling, and workflows (AWS, Terraform, Kubernetes, Ruby on Rails, GraphQL, etc.)
• Participate in the on-call rotation with support from teammates
• Take ownership of a scoped infrastructure project and deliver incremental improvements
• Independently deliver infrastructure changes that improve reliability, performance, or security
• Understand how infrastructure supports product and customer needs, and translate requirements into practical technical solutions
• Design, implement, and maintain cloud infrastructure using infrastructure-as-code
• Collaborate with cross-functional partners to execute on infrastructure initiatives
• Participate in an on-call rotation (one week every four weeks) and help maintain system reliability
• Contribute to a positive team culture by sharing knowledge and supporting teammates
• Continuously improve your technical skills and operational effectiveness

Infrastructure Engineer IV

AI Engineer

• Multiply Your Impact by leading, mentoring, and developing Engineering Managers and senior engineers, building scalable systems and practices that allow teams to deliver AI-powered solutions consistently and independently
• Own the Outcome for execution across multiple AI engineering teams, ensuring delivery commitments are met, dependencies are actively managed, and teams are accountable for customer-visible impact
• Drive an AI First approach to engineering by embedding AI-powered workflows, agentic systems, and responsible AI practices into how teams design, build, and operate products
• Practice Change Agility by guiding teams through evolving AI technologies, shifting priorities, and emerging security threats while maintaining clarity, momentum, and team health
• Apply First Principles Problem Solving to complex AI and product challenges, breaking problems down to fundamentals and designing durable, scalable solutions rather than short-term workarounds
• Leverage Data-Driven Decision Making to assess system performance, model quality, delivery outcomes, and operational health, using evidence to inform priorities and improvements
• Collaborate cross-functionally with Product, Design, Data, Security Research, and other Engineering leaders to align AI engineering efforts with company strategy and customer needs

Senior Manager, AI Engineering

• Own the end-to-end commercial sales cycle from prospecting through close, consistently delivering against revenue targets while maintaining accountability and follow-through (Change Agility).
• Apply Data-Driven Decision Making to manage pipeline health, forecast accurately, prioritize opportunities, and evaluate deal risk using CRM insights, customer signals, and performance metrics.
• Use First Principles Problem Solving to deeply understand customer security challenges, break down complex buying scenarios, and clearly articulate differentiated value grounded in customer outcomes.
• Demonstrate Change Agility by adapting quickly to evolving customer needs, product capabilities, territory dynamics, and market conditions while maintaining momentum and clarity.
• Develop and execute strategic account plans that expand HackerOne’s footprint within existing customers and drive new logo acquisition across the commercial segment.
• Partner cross-functionally with Sales Engineering, Marketing, Product, and Customer Success to deliver a cohesive customer experience from initial engagement through long-term value realization.
• Collaborate with Channel Partners in your territory to identify, develop, and co-sell opportunities, adjusting engagement models as partner strategies and market dynamics evolve.
• Leverage an AI First mindset by thoughtfully using AI-powered tools to improve prospecting, account research, deal preparation, and overall sales efficiency while exercising sound judgment and responsible use.

Senior Account Executive, Commercial

• Define and evolve the architectural vision for HackerOne’s platform and core systems, ensuring scalability, reliability, and performance.
• Partner with Product, Platform, and Security teams to translate long-term business and product goals into actionable architectural strategies.
• Collaborate with Principal and Distinguished Engineers to align on technical direction, establish shared standards, and evolve HackerOne’s system design principles.
• Lead major cross-team initiatives that modernize our architecture, improve observability, and reduce complexity across our systems.
• Mentor and guide engineering teams, fostering a culture of technical excellence, knowledge sharing, and continuous improvement.
• Evaluate and integrate emerging technologies, including AI, GenAI, and LLM-driven architectures, to enhance the intelligence and effectiveness of our platform.
• Drive architectural governance and documentation, ensuring long-term maintainability and transparency in decision-making.
• Communicate architectural direction clearly to both technical and non-technical stakeholders, building alignment through clarity and evidence.

Principal Software Architect

Director

• Define and establish how product monetization works at HackerOne.
• Create the vision, systems, and operating model that translate product value into scalable commercial outcomes across a rapidly expanding portfolio.
• Reporting to the Senior Director, Product Strategy, operate as a principal individual contributor with enterprise-wide scope.
• Design pricing models, packaging frameworks, and value realization systems.
• Lead change required to embed monetization approaches across Product, Finance, GTM, and Engineering.
• Establish foundational pricing and packaging frameworks.

Product Monetization Director

General Counsel

• Apply an AI-First approach by using AI tools responsibly to improve research quality, drafting efficiency, and privacy assessment workflows.
• Demonstrate Change Agility by adapting quickly to evolving global privacy and AI regulations, adjusting guidance as new risks, tools, or requirements emerge.
• Use First Principles Problem Solving to simplify complex privacy questions, clarify assumptions, and provide clear, structured recommendations.
• Leverage Data-Driven Decision Making during DPIAs, and related assessments by grounding evaluations in evidence, criteria, and regulatory expectations.
• Support the current Privacy function with global privacy assessments, including DPIAs, AI DPIAs, TIAs, LIAs, and other structured risk reviews.
• Review new and existing product features, AI capabilities, and data practices as part of privacy-by-design, identifying risks and opportunities early in development.
• Draft, review, and negotiate data processing agreements (DPAs), privacy terms, and commercial contracts to support global sales and procurement.
• Maintain and update privacy contractual documentation and internal templates and policies.
• Create and deliver internal training on privacy and AI governance.
• As part of the Privacy function, support internal and external privacy audits, coordinate with external advisors, and ensure alignment across business functions on assessment findings and remediation.
• Monitor evolving privacy laws, case law, AI governance frameworks, and regulatory trends, sharing key insights with stakeholders to maintain compliance and anticipate future requirements.