Jobs at HackerOne

Design, build, integrate, and optimize Salesforce and connected enterprise GTM systems. Develop AI-enabled automations, platform capabilities, and scalable workflows across Sales, Marketing, Customer Success, RevOps, Finance, and Engineering. Provide technical leadership, mentor engineers and partners, support incident response, drive system modernization, and lead change management and adoption. The role requires hands-on expertise with Salesforce, enterprise applications, identity tools, integrations, and workflow automation.

Build, configure, maintain, and support Salesforce GTM systems, including Sales Cloud and CPQ. Develop integrations with applications such as Slack, Marketo, 6sense, and Luminance using APIs and Workato. Automate revenue processes, troubleshoot data flows, perform root-cause analysis, document solutions, translate business requirements into technical designs, and support testing, deployments, and release cycles.

The Content Marketing Manager will lead HackerOne’s blog, research reports, editorial calendar, SEO and AEO efforts, and content intake process. They will interview subject matter experts, translate complex cybersecurity topics into accessible stories, maintain editorial standards, repurpose content across channels, and measure performance. The role requires strong writing, editing, storytelling, research, collaboration, and project management skills, along with effective use of AI tools and search insights.

Leads HackerOne’s enterprise AI and IT strategy, driving AI-native workflows, automation, enterprise systems, and modernized IT support. Owns strategy, execution, service reliability, and organizational transformation while building an AI-enabled help desk. Also serves as Pune Site Leader, developing the India technical center, strengthening cross-functional leadership, shaping local capabilities, and representing HackerOne across India’s technology and talent ecosystem.

Build and operate AI-native IT support by developing agents, automations, and production code that resolve Tier 1 requests. Improve tiered support workflows, developer tooling support, self-service, and escalation paths across identity, SaaS, endpoints, APIs, data systems, and AI infrastructure. Use operational data to identify recurring issues, improve resolution rates, and convert human support work into durable automation while collaborating with Security, Engineering, and Enterprise Systems teams.

Designs and operates identity and access management systems across human, service, workload, and AI identities. Owns lifecycle automation, data-driven access models, time-bound entitlements, identity-as-code, cloud IAM, and AI-powered access reviews. Partners with Engineering, IT, and Compliance to reduce unnecessary access, support audits, and respond to identity-related incidents. Requires strong software engineering skills and hands-on experience with Okta, enterprise SaaS provisioning, AWS IAM, and AI or LLM tooling.

Leads global Total Rewards, People Systems, and People Analytics, including compensation, benefits, pay equity, HRIS strategy, workforce reporting, annual reward cycles, data governance, compliance, and executive compensation support. Builds and manages teams, partners with Finance, Legal, and executives, and develops scalable Workday-centered systems and AI-enabled workflows for a growing global workforce.

Lead product improvements for AI agents that validate, prioritize, exploit, deduplicate, and remediate vulnerabilities. Own the agent evaluation framework, harness, quality gates, feedback loops, metrics, and experimentation strategy. Collaborate with engineering, triage teams, offensive security researchers, customers, and distributed product teams to translate security workflows into scalable AI capabilities and improve agent quality, performance, cost, and customer outcomes.

Lead and grow AI engineering teams owning the AI-Native Intelligence Dashboard and Payments & Monetization. Set technical direction, ship AI-powered features, embed responsible and agentic AI practices, mentor engineering managers, manage cross-team dependencies, and collaborate with product, design, and data to deliver measurable customer impact at scale.