HackerOne

Application Engineer

• Lead the end-to-end design and delivery of scalable, secure, and intelligent GTM systems that support HackerOne’s transformation into an AI-native organization, embedding AI First principles into workflows, architecture, and operational processes.
• Own and evolve the architecture across Salesforce Sales Cloud, Experience Cloud, CPQ, Clay, Marketo, and adjacent platforms, redesigning legacy processes and systems to maximize automation, scalability, and business impact through AI First thinking.
• Drive GTM systems strategy and roadmap development by partnering closely with executive stakeholders, including the CEO and SVP of GTM Operations, applying Data-Driven Decision Making to prioritize investments, measure outcomes, and continuously improve business performance.
• Apply First Principles Problem Solving to deconstruct complex GTM challenges, identify root causes, and design simple, scalable solutions that improve operational efficiency, forecasting accuracy, and revenue execution.
• Demonstrate Change Agility by leading platform modernization efforts, helping stakeholders navigate evolving business requirements, and building repeatable frameworks that enable teams to adapt quickly to changing priorities and market conditions.
• Partner across business, engineering, and operations teams to identify high-leverage opportunities for automation, integration, and AI-powered capabilities that reduce manual effort and improve decision quality.
• Provide technical leadership and mentorship to internal engineers and external development partners, establishing standards, best practices, and scalable operating models that elevate engineering quality across GTM systems.
• Champion operational excellence through robust automation, governance, documentation, incident management, and change management processes, ensuring systems are resilient, trusted, and broadly adopted across the organization.

Staff Applications Engineer – GTM Systems

Product Marketing

• Architect with business partners
• Embed with stakeholders across Revenue Operations, Sales, Marketing, Channel Partners, and Finance to diagnose operational challenges using first-principles thinking
• Translate growth strategy and identified gaps into re-designed processes across core GTM workflows including forecasting, pipeline management, quote-to-cash, planning, sales enablement, and partner operations
• Design outbound motion infrastructure including sequencing logic, territory and account prioritization, signal-based triggers, and rep-facing tooling that drives consistent, high-quality outbound execution at scale
• Evaluate our GTM tech stack (e.g., Salesforce, Gong, Clay, ZoomInfo, Looker) and define the future state to leverage AI-native tooling and drive greater GTM agility
• Design AI-enabled workflows that improve the speed, consistency, and quality of GTM execution
• Build tools and deploy modern AI capabilities to connect systems, automate tasks, and surface actionable intelligence without over-engineering
• Instrument GTM systems and architect the data flows that enable accurate pipeline analytics, forecasting, and planning
• Build integrations and feedback loops (e.g., win/loss signals, conversion, pipeline flow) that continuously improve the quality of inputs into processes and analytics models
• Own solutions end-to-end: design, build, test, iterate, and support
• Establish and enforce shared definitions, data standards, system-of-record hygiene, and workflow governance to improve behavior consistency, execution quality, and alignment across functions (e.g., RevOps, Sales, Enablement, Marketing, etc.)
• Reduce manual work through automation while improving signal quality, execution consistency, and operational reliability across GTM workflows
• Reduce tool sprawl, complexity, and process redundancy

Senior GTM Operations Engineer

Account Executive

• 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, DACH

General Counsel

• Own and scale the global commercial legal function across North America, EMEA, and APAC.
• Establish clear commercial risk standards and negotiation frameworks that balance enterprise growth with disciplined governance.
• Serve as the final decision authority on commercial risk within defined thresholds, partnering with the CLO on enterprise-level matters.
• Support complex enterprise transactions across regulated industries and international markets.
• Build and develop a high-performing, multi-jurisdictional team across commercial, privacy, and procurement legal support.
• Scale leadership capability within the function, creating succession depth and operational independence.
• Architect an AI First legal operations strategy that responsibly leverages AI to improve contract review, knowledge management, and workflow automation.
• Embed Data-Driven Decision Making by establishing measurable KPIs for contract cycle time, risk trends, and negotiation performance.
• Partner with Sales, GTM, Finance, Security, and Product leadership to accelerate deal velocity without compromising integrity.

Associate General Counsel – Global Commercial Lead

Product Designer

• Inspire and guide the organization toward a design-first mindset, helping teams embrace design thinking as a core discipline in building complex AI-native systems and shaping the future of HackerOne’s platform.
• Lead and develop a team of product designers, creating the systems, processes, and leadership culture that Multiply Your Impact across the product organization while enabling designers to deliver high-quality experiences at scale.
• Partner with Product, Engineering, and executive leadership to define the long-term vision for how design shapes AI-native security platforms, ensuring teams consistently Own the Outcome for product usability, clarity, and customer impact.
• Champion an AI First approach to product design by creating interaction models, workflows, and experiences where intelligent agents perform the majority of operational work while humans provide trust, oversight, and strategic decision-making.
• Design the future of human-computer interaction in HackerOne platform by defining patterns for agent-to-agent interactions, human-in-the-loop oversight, and transparent AI systems that support trust and accountability.
• Lead the development of visualization strategies that simplify complex security use cases, enabling users to understand risk, prioritize actions, and make informed decisions across highly complex workflows.
• Apply First Principles Problem Solving to rethink traditional security workflows, designing systems that simplify complexity and unlock new ways for humans and AI agents to collaborate effectively.
• Use Data-Driven Decision Making to guide design priorities, evaluate product experience outcomes, and continuously improve usability, adoption, and platform effectiveness.
• Establish and scale a product design system that enables consistent user experiences, accelerates product development, and supports the evolution of AI-native product interactions across the HackerOne platform.

Director – AI Product Design

• Drive enterprise revenue growth by developing and executing strategic territory and account plans, prospecting into FTSE 250 and other large enterprise organizations, and closing high-value new business opportunities.
• Demonstrate AI First by leveraging AI-powered tools and technologies to improve prospecting effectiveness, account research, customer engagement, pipeline management, and sales productivity.
• Apply First Principles Problem Solving to understand customer business challenges, security objectives, and risk management priorities, building tailored solutions that align HackerOne’s platform capabilities with customer outcomes.
• Utilize Data-Driven Decision Making to manage pipeline health, forecast accurately, identify growth opportunities, and continuously optimize sales strategies using Salesforce, MEDDPICC, Command of the Message, and other sales methodologies.
• Practice Change Agility by adapting quickly to evolving cybersecurity market dynamics, customer priorities, competitive landscapes, and organizational initiatives while maintaining momentum toward revenue objectives.
• Build trusted relationships with C-level executives, security leaders, procurement teams, and other stakeholders to navigate complex buying processes and drive consensus across large enterprise accounts.
• Deliver compelling virtual and in-person presentations, demonstrations, and executive business discussions that clearly articulate HackerOne’s value proposition and business impact.
• Collaborate cross-functionally with Sales Engineering, Marketing, Customer Success, Product, and Partner teams to ensure successful customer acquisition, onboarding, and long-term account growth.

Senior Account Executive, EMEA Enterprise

Sales Development Rep

• Demonstrate Change Agility by progressing through a structured onboarding and training program
• Apply First Principles Problem Solving to understand prospective customer challenges
• Partner cross-functionally with Account Executives and Marketing to execute tightly coordinated, account-based prospecting strategies
• Use AI First and modern sales technologies to increase effectiveness and efficiency in prospecting
• Act as a trusted conduit between prospective customers and the sales team
• Own your activity and results by consistently meeting or exceeding monthly goals

Sales Development Representative, Enterprise

QA Automation Engineer

• Lead the end-to-end design and delivery of scalable, secure, and intelligent data products and AI automation solutions that support HackerOne's transformation into an AI-first organization.
• Build, optimize, and maintain data pipelines and infrastructure that serve as the foundation for AI-powered systems and agentic operations.
• Design and deploy AI-powered automation solutions that eliminate routine, manual work and unlock human capacity for strategic direction, creativity, and edge-case governance.
• Partner across business and engineering teams to identify high-leverage opportunities for automation, integration, and system modernization.
• Drive the architecture and execution of platform-level capabilities, leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience.
• Provide technical leadership to internal engineers and external development partners, ensuring design quality, operational excellence, and long-term maintainability.
• Shape and contribute to our incident and on-call response strategy, playbooks, and processes, focusing on building systems that fail gracefully and recover quickly.
• Act as a multiplier to mentor other engineers, advocate for technical excellence, and promote a culture of innovation, curiosity, and continuous improvement.
• Champion effective change management and enablement, ensuring systems are not only launched, but adopted, understood, and evolved.

Senior AI Automation Engineer

Data Engineer

• Your first day will start with a warm welcome and technical onboarding!
• Your first 30 days will focus on getting to know HackerOne. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet our Hackeronies.
• Within 60 days, you will deliver impact on a company level with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products.
• Within 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts.
• After 90 days, you will deliver impact by developing the roadmap for continuously and iteratively launching high-impact, high-performance, scalable source of truth data marts and data products, and by leading and delivering cross-functional product and technical initiatives.
• Be a technical paragon and cross-functional force multiplier, autonomously determining where to apply focus, contributing at all levels, elevating your squad, and designing solutions to ambiguous business challenges, in a fast-paced early-stage environment.
• Drive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices.
• Champion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company.
• Provide technical leadership and mentorship, fostering a culture of continuous learning and growth.

Manager, Data Engineering

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.)
• Become familiar with our reliability, security, and incident management practices
• Participate in the on-call rotation with support from teammates
• Take ownership of a scoped infrastructure project and deliver incremental improvements
• Build working relationships across engineering and adjacent functions
• 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
• Contribute to operational excellence through runbooks, automation, and system improvements
• 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 III

Customer Success Manager

• Manage a portfolio of customer accounts, strengthening engagement and retention by proactively identifying risks and opportunities.
• Build scalable workflows and leverage automation tools to improve efficiency and consistency in customer interactions.
• Adapt to evolving customer needs and organizational priorities.
• Use data-driven decision making to monitor account health, analyze usage trends, and inform strategies that improve retention, expansion, and customer satisfaction.
• Apply first principles problem solving to identify root causes of customer challenges.
• Partner cross-functionally with Sales, Product, and Engineering to advocate for customer needs.
• Lead onboarding and adoption efforts, ensuring customers successfully integrate HackerOne’s solutions.

Customer Success Manager, Commercial

Communications

• Lead the development and execution of integrated communications strategies that elevate HackerOne’s presence in tier-one media and drive measurable engagement across social and digital channels, applying Data-Driven Decision Making to continuously refine approach and impact
• Identify and capitalize on real-time cybersecurity trends and news moments, inserting HackerOne into relevant conversations with speed and clarity through Change Agility, ensuring the brand remains timely, credible, and differentiated
• Own external storytelling across press, social, and thought leadership by translating complex security topics into clear, compelling narratives grounded in First Principles Problem Solving
• Build and execute high-impact media strategies, including developing strong, differentiated pitches that secure top-tier coverage and position HackerOne as a category leader
• Lead crisis communications efforts, including message development, rapid response coordination, and media engagement, maintaining composure and clarity in high-stakes situations through Change Agility
• Drive a modern, attention-oriented social media approach that goes beyond standard posting—experimenting with formats, narratives, and channels (including video) to expand reach and engagement
• Apply an AI First mindset to scale communications impact, leveraging AI tools to enhance content creation, media monitoring, trend identification, and workflow efficiency
• Manage and provide strategic direction to external PR agencies and contractors, ensuring alignment with business goals, quality of execution, and consistent storytelling across channels

Senior Communications Manager

Security Engineer

• Design, build, and maintain detection-as-code capabilities across cloud infrastructure, SaaS applications, endpoints, and identity systems, improving coverage and signal quality through Data-Driven Decision Making
• Build automated investigation and response workflows that replace manual runbooks, leveraging AI First principles to scale triage, enrichment, containment, and remediation
• Develop and deploy AI/LLM-powered tooling to accelerate investigations, reduce alert fatigue, and extend team capacity beyond traditional headcount constraints, embedding AI First practices into daily workflows
• Lead and participate in incident response, including detection, investigation, containment, and retrospectives, applying First Principles Problem Solving to identify root causes and improve long-term resilience
• Partner cross-functionally with engineering and platform teams to expand logging, improve observability, and embed detection capabilities into the development lifecycle
• Continuously improve detection quality by analyzing alert performance, tuning for signal, and building feedback loops between incidents and detections using Data-Driven Decision Making
• Proactively identify gaps in visibility or coverage and translate ambiguous problem spaces into concrete detection and response solutions through First Principles Problem Solving
• Adapt quickly to evolving threats, tools, and priorities, helping the team maintain momentum and effectiveness through Change Agility

Senior Security Engineer, Detection and Response

Marketing

• Architect and Scale an AI-Native Marketing-to-Revenue Engine
• Turn Signal, Intent, and Performance Data into Action
• ICP, segmentation, and account prioritization
• Design and Evolve the AI-Enabled Marketing Technology Architecture
• Increase Speed, Predictability, and Quality of Outcomes