Design, operate, and continuously improve application security testing capabilities and pipelines.
Assess application risks, perform security reviews across multiple languages, and assist with penetration testing.
Provide application security guidance and mentorship to development teams as needed.
Esri is a global leader in geographic information system (GIS) technology, helping organizations create positive global change. With a diverse workforce unified under this mission, Esri fosters an inclusive culture that values continuous learning and growth.
Own security across engineering platform, infrastructure, and production systems.
Lead incident response end-to-end, including detection, runbooks, and tabletop exercises.
Establish security posture across IAM, secrets management, network segmentation, and monitoring.
Helius builds core infrastructure for Solana, enabling developers to create crypto-powered applications. They are a small, senior, fully remote team backed by Haun Ventures, Founders Fund, and Foundation Capital, obsessed with performance and scalability in decentralized systems.
Lead Apollo's multi-year AppSec strategy and shape cross-team roadmaps.
Set secure design, code review, and AI security standards across engineering.
Mentor security champions and build automation that scales secure practices.
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies. Founded in 2015, it has raised ~$250M and is valued at $1.6B, with a culture focused on AI-native innovation and continuous improvement.
Review existing RL environments for offensive-security and application-security tasks, confirming vulnerabilities are real, reachable, and solvable with provided context.
For patching and exploit-construction tasks, trace or attempt the intended path and verify grading correctly distinguishes genuine fixes from pattern-matching or workarounds.
Flag inconsistent files, missing context, or ambiguity, and write clear justifications for each accept, reject, or flag decision.
idlexperts is idler's quality assurance network of part-time, remote experts who review reinforcement-learning environments before they reach customers. The culture is flexible, async, and self-directed, with experts expected to work a handful of hours per week and deliver clear written judgments.