HackerOne

Marketing

• Develop and execute multi-channel marketing campaigns that drive demand, pipeline growth, and brand awareness across target audiences and geographies
• Build campaign plans that connect audience, messaging, content, offers, channel mix, and measurement
• Create campaign briefs, goals, target audience definitions, KPIs, and testing plans
• Define and evolve scalable campaign themes and programs that can run across multiple quarters
• Manage campaign launches from setup through optimization, ensuring strong execution and on-time delivery
• Coordinate campaign assets, timelines, and cross-functional workflows across marketing and go-to-market teams
• Own end-to-end channel execution across digital, content, lifecycle, field, and sales-touch programs
• Oversee campaign tracking and measurement to ensure clear visibility into performance
• Lead cross-functional alignment with Brand, Product Marketing, Growth, Demand, Field, Sales, SDR, and Regional Marketing teams to align campaigns with business priorities
• Help ensure campaigns are rooted in a clear, differentiated narrative and translated effectively into market-facing programs
• Collaborate with sales and go-to-market teams to support campaign follow-up, activation, and enablement
• Conduct ongoing campaign reporting and share actionable insights and recommendations
• Partner with marketing ops and revenue stakeholders to measure performance across lead, conversion, pipeline, and ROI metrics
• Identify opportunities to improve campaign effectiveness through audience, messaging, channel, and offer optimization
• Support a test-and-learn approach that drives continuous improvement in campaign performance

Integrated Marketing Campaign Lead

Full-stack Engineer

• 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.
• Within your first 30–60–90 days, you’ll move from deeply understanding our systems and architecture, to identifying strategic opportunities, to leading architectural initiatives that impact teams company-wide.

Principal Software Engineer

• Contribute to the evolution of the cloud-based execution platform for the AI security agent Hai, implementing features that enable natural language-driven security insights, improved reasoning, and secure action workflows.
• Design and implement core components for end-to-end execution of security agents, including agent execution frameworks, memory services, RAG services, and observability systems.
• Operate with an AI-first mindset, leveraging tools such as Claude Code and ChatGPT Enterprise to significantly improve productivity across coding, design documentation, on-call response, and customer escalation handling.
• 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 distributed systems and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.

Senior Software Engineer, Platform

Growth Marketing

• Lead and scale the North America Strategic Enterprise expansion function, translating company strategy into clear departmental goals and owning the full Strategic expansion number.
• Demonstrate Own the Outcome by driving forecast accuracy, pipeline rigor, renewal excellence, and executive-level deal execution across complex, multi-threaded accounts.
• Multiply Your Impact by developing and coaching Strategic sellers and managers, building leadership bench strength, and installing repeatable systems that enable consistent overachievement.
• Embed AI First practices into account planning, forecasting, pipeline inspection, and deal strategy to improve quality, speed, and competitive advantage while ensuring responsible adoption.
• Champion Data-Driven Decision Making by establishing clear metrics, leading structured business reviews, and using evidence to refine territory design, account segmentation, and expansion strategy.
• Apply First Principles Problem Solving to redesign processes, remove friction in cross-functional collaboration, and simplify complex enterprise selling motions into durable, scalable systems.
• Model Change Agility by leading the Strategic team through evolving market conditions, product innovation, and organizational growth while maintaining clarity, urgency, and focus.
• Partner cross-functionally with Customer Success, Sales Engineering, Marketing, Product, and Executive Leadership to ensure the voice of our Strategic customers informs company priorities and long-term planning.

Director, Enterprise Strategic Growth Sales

Account Executive

• Own and expand a portfolio of commercial accounts ($100M - $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 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 customer’s 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 customer priorities, regulatory environments, product evolution, and competitive pressures while maintaining consistent momentum throughout the deal cycle.
• Lead complex negotiations including MSAs, multi-year agreements, security reviews, and 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 commercial customer accounts.

Senior Growth Account Executive, Commercial

AI Engineer

• 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.
• Contribute to evolve Cloud based execution of AI security agent Hai, implementing features that enable natural language security insights, improved reasoning, and secure action workflows in cloud.
• 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, AI Platform

• Apply an AI First mindset by building and integrating AI capabilities such as LLM-powered workflows, RAG pipelines, or orchestration components that enhance vulnerability detection and security automation.
• Demonstrate First Principles Problem Solving by breaking down AI and security challenges into clear components, identifying core assumptions, and implementing simple, maintainable solutions.
• Use Data-Driven Decision Making to evaluate model performance, test hypotheses, analyze telemetry, and iterate on features based on measurable impact.
• Practice Change Agility by adapting to evolving AI frameworks, product requirements, and security considerations while maintaining delivery momentum.
• Contribute to the development of our AI security agent, Hai, implementing features that enable natural language insights, reasoning workflows, and secure model interactions.
• Build and maintain APIs and services that enable secure interactions between AI models, internal systems, and third-party platforms.
• Partner cross-functionally with Product, Security Research, and Customer Success to clarify requirements, translate user needs into technical tasks, and deliver reliable solutions.
• Stay current with emerging AI and AI security trends, sharing learnings with the team and incorporating relevant advancements into your work.

Software Engineer, Applied AI

• 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 Account Executive, Enterprise – North Central Region

Senior Account Executive, Enterprise

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

Senior Growth Account Executive, Enterprise – Southeast Region

Senior Growth Account Executive, Enterprise

• 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.