Work with the CEO and teams across the company to identify the highest-leverage problems.
Own cross-cutting investments that no single team can prioritize, building for teams that can't build for themselves.
Spend meaningful time with engineers and other stakeholders to deeply understand their workflows and build solutions.
Jito builds the market layer of Solana, powering the network's validator client and related products. With about 40 people, the team operates with high ownership, fast execution, and a high quality bar.
Build a cloud-native big data platform handling audience data for millions of attendees and billions of interactions.
Design and own ML infrastructure including feature stores, training pipelines, and model serving.
Own the full data pipeline from ingestion to business impact, ensuring reliability and performance.
Hive is a marketing platform that helps event marketers personalize and automate campaigns to sell out shows and engage fans. The company is a fully remote team located across Canada, fostering a work environment with strong work-life balance and a focus on impactful outcomes.
Lead the company’s technical vision and architecture for the platform and AI products, acting as a player-coach. - Own the technical roadmap and ensure alignment across data infrastructure and AI development. - Serve as the public face of Civis technology, evangelizing and forming external partnerships.
Civis Analytics is a data analytics and AI company that builds a data platform and standalone AI products. They have a culture of embracing individuality and celebrating differences, with a small engineering team.
Manage, coach, and develop a team of four to six engineers.
Translate open-ended research goals into technical strategies, milestones, and well-designed systems.
Balance research velocity with reliability, maintainability, and security.
FirstPrinciples is a research company building AI for scientific discovery, with systems like Theo the AI Physicist. They are a fast-growing, remote-first team of builders, researchers, engineers, and thinkers across the globe, united by curiosity about the universe.
Own the platform and security foundation for the food intelligence platform, converting bottlenecks into defensible capabilities.
Build deploy regimes, medallion architecture, and AI-native engineering standards that protect the data corpus.
Manage data engineering ICs and operationalize platform health through observability and automated workflows.
WISEcode builds a food intelligence platform that makes food data the easiest and most trustworthy to consume. The company operates as an AI-native startup with a focus on data platform, engineering, and security, aiming to become the standard for data stewardship in the industry.
Act as the primary security partner for the Walrus team, providing architectural guidance and embedding security practices throughout the development lifecycle.
Lead security assessments for new features and contribute to ecosystem-wide security initiatives, identifying systemic risks and actionable remediation plans.
Drive a security-by-design culture, leveraging AI and automation to focus on high-impact, complex security research and mentor engineers.
Mysten Labs builds foundational infrastructure to accelerate the adoption of decentralized protocols based on blockchain technologies. They are a well-funded, remote-first team with over $300M in Series B funding from top venture firms, fostering a culture of innovation and growth.
Partner with PMs to translate business opportunities into scalable data and AI solutions.
Deliver reliable data products that support experimentation and decision-making across the company.
Build and scale batch and real-time pipelines for high-quality data processing.
Change.org is the world’s largest platform for democracy, enabling millions of people to create change. With over 100 million users annually, the company is investing heavily in AI to build powerful tools and is expanding its talented team at the intersection of technology and social impact.
Secure cloud infrastructure, applications, APIs, and AI-driven workflows.
Partner with engineering to embed security controls into production.
Lead vulnerability management and incident response activities.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company is a high-growth startup with a remote-first culture, emphasizing transparency, autonomy, and technical craftsmanship.
Threat model new product features and integrations, hardening systems with effective controls.
Operate and evolve the application security toolchain, keeping it high-signal for developers.
Own day-to-day security operations across the detection stack, triaging and resolving incidents.
Gauntlet builds the financial systems of the future, operating across the entire onchain finance stack to offer vault products for institutional clients. They serve over $1.5B in client TVL and combine traditional finance with crypto-native expertise.
Build the data and model layer for an AI-enabled decision-support system, including ingestion, record matching, scoring, and generation.
Implement probabilistic matching, calibration, and retrieval-augmented generation in a controlled environment.
Ensure traceability, audit trails, and documentation for all data and model outputs.
DEFCON AI leverages AI, mathematical optimization, and data analytics for resilient optimization of complex systems. The team operates in a fully remote, results-based environment with a focus on innovation and collaboration.
Architect internal AI security strategy for ServiceNow's adoption of agentic tools, LLMs, and copilots.
Drive execution excellence by pushing architecture through to production-grade outcomes across security domains.
Lead AI threat modeling and partner with product AI security research to apply frontier research internally.
ServiceNow is the AI control tower for business reinvention, empowering 85% of the Fortune 500 with its AI platform. Founded on the idea of freeing people from busywork, it fosters an AI-native culture where technology and talent are unstoppable.
Contribute to the design, development, and operation of core components of Abnormal’s data platform.
Build tools and services that make it easy for other teams to adopt and scale data systems.
Help automate infrastructure and operations to improve reliability, performance, and scalability.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 4,500+ enterprises trust our behavioral AI platform.
Bring new signal sources online end to end, from discovery and scoping through ingestion, standardization, and live operation.
Identify failure modes in information sources and build systems that mitigate them at the point of ingestion.
Replace human-diligence dependencies with engineering solutions: derive fields, pull from source systems, validate at write time.
Vanta helps businesses earn and prove trust by automating security monitoring and compliance for standards like SOC 2, HIPAA, and ISO 27001. Founded in 2018, the company has a kind and talented team and serves thousands of companies as the world's leading Trust Management Platform.
Drive AI security innovation and strategy, ensuring secure AI adoption across the platform and internal productivity initiatives.
Implement AI guardrails and defenses against AI-based threats, while leveraging AI for security benefits.
Lead security initiatives, architect solutions, and mentor engineers to elevate the overall security posture.
Addepar is a global data and AI platform that empowers investment professionals to turn complex financial information into actionable intelligence. The company serves over 1,400 firms in nearly 60 countries and manages nearly $9 trillion in assets, with offices worldwide.
Set technical direction: identify promising verification problems and approaches, decide which bets are worth pursuing, and steer projects from idea through prototype.
Build and prototype: work across problems such as algorithms for recomputing AI workloads, ML engineering for inference pipelines, frontend engineering for demonstrations, and cybersecurity analysis of verification designs.
Build the team: manage and coach engineers, help set areas of specialization, and grow SASH's in-house verification capabilities.
Singapore AI Safety Hub (SASH) is launching the first international collaboration to develop globally trusted verification mechanisms for AI datacenters. SASH is a young, fast-moving organization with a small core team and international partners, offering substantial autonomy and a culture of making things happen.
Build and iterate on end-to-end ML solutions for misdirected email detection.
Collaborate cross-functionally to turn customer needs into product improvements.
Run rigorous experiments and evaluations to ensure reliable detection.
Abnormal protects organizations from AI-powered cybercrime using its behavioral AI platform. Trusted by 4,500+ enterprises, the company focuses on securing email, identity, and AI systems.
Design and implement security controls and governance frameworks for AI and machine learning systems.
Develop threat models and security architectures tailored to LLMs, AI applications, and training data pipelines.
Identify and mitigate AI-specific risks like prompt injection, model abuse, and data exfiltration.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. They operate as a technology-focused company with a remote team, emphasizing fair and efficient hiring processes.
Lead a high-performing team of engineers to develop data collection capabilities for national security workflows.
Define the roadmap and technical vision for scalable, reliable data access and managed attribution browser.
Partner with cross-functional teams to deliver foundational data capabilities and enhance product suite.
Vannevar is a defense technology company building AI to deter adversaries, focusing on modeling adversary behavior and recommending courses of action using mission-relevant datasets. We are a small agile team of world-class engineers and veteran strategists, with $80M ARR, early profitability, and unicorn status.
Lead secure design reviews, threat modeling, and risk assessments for AI-driven products and APIs.
Embed security practices throughout the software and AI development lifecycle.
Architect and enforce security controls for AI/ML systems and cloud-native infrastructure.
AlphaSense provides AI-driven market intelligence and search platform trusted by over 6,000 enterprise customers. Founded in 2011, the company has more than 2,000 employees globally with offices in multiple countries.
Architect, design, build, deploy, and maintain Model Serving infrastructure using industry-standard AI tools.
Own projects that scale model serving and data processing services to handle 10x traffic.
Collaborate closely with MLE and Data Science teams to distill feedback and execute on strategy.
Abnormal AI protects the humans behind the world's most critical organizations from AI-powered cybercrime. Over 4,500 enterprises trust their behavioral AI platform, fostering a culture of innovation and security.