Design, build, and maintain agent infrastructure and platforms, including the TRACE Graph, embeddings, and semantic search.
Collaborate with detection engineers and threat hunters to encode domain expertise into agents.
Build automated evaluations and benchmarks for non-deterministic agentic systems.
Nebulock is an agentic threat hunting platform that autonomously surfaces behaviors, not just IOCs, from various data sources. As a startup, we emphasize collaboration, low ego, and a relentless focus on delivering customer value.
Architect and build production-grade internal AI tools and shared platform capabilities used by teams across Fullscript.
Lead the technical design and delivery of complex AI integrations, including MCP-based tool use, agentic workflows, and model gateways.
Independently take ambiguous business problems from technical discovery through implementation, deployment, measurement, and ongoing operation.
Fullscript is a health technology company that helps practitioners access products and deliver better care. With over 125,000 practitioners and 10 million patients, we build tools that make care smarter and more human, fostering a culture of growth, teamwork, and impact.
Lead a cross-functional delivery team spanning product, engineering, data, AI, and security from discovery through operational deployment.
Translate mission needs into clear technical plans, establish priorities, and resolve risks across multiple specialties.
Build, mentor, and scale a high-performing technical organization, ensuring integrated, secure, and repeatable delivery.
Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies in healthcare, cyber, and national security. DEFCON AI, a Red Cell company, leverages AI for resilient optimization of complex systems, with a team focused on delivering decision-support capabilities for the federal government.
Design, build, and operate event-driven services for real-time pentest data processing.
Solve distributed systems challenges at scale, including data migration and batch-to-streaming conversion.
Set high standards for operational excellence with SLOs, instrumentation, and on-call.
Horizon3 is a remote cybersecurity company that enables organizations to find, fix, and verify exploitable attack vectors using its NodeZero autonomous pentesting platform. The company is a fusion of former US Special Operations cyber operators and engineers, fostering a culture of respect, collaboration, and ownership.
Drive technical vision and set the roadmap for the squad, partnering with engineering leadership.
Architect the end-to-end automation platform for package creation, test generation, and image building.
Build AI-powered tooling with LLM integration for manifest generation and quality gates.
Chainguard delivers hardened, secure builds of open source software to secure the software supply chain. They serve Fortune 500 enterprises and are backed by top investors, with a remote-first culture focused on trust, intentional action, and customer obsession.
Design and build agent runtime infrastructure with Firecracker, Rust, and Go
Define and enforce security boundaries for running untrusted AI agents
Architect global scale distributed systems for scheduling and orchestration
We build agent sandboxes—runtime infrastructure that is fast, durable, and secure by default for AI systems. We are a small, globally distributed team based in San Francisco backed by forward-thinking investors.
Build and run monitoring, tracing, and alerting infrastructure to ensure platform reliability and security.
Lead incident response and recovery, including root cause analysis, and improve deployment processes for fast, safe code changes.
Collaborate with engineering teams to deliver a stable, scalable platform and handle load for resource-intensive applications.
WellSaid Labs is the leading AI voiceover studio for enterprise and professional use, providing ultra-realistic voices that the world’s biggest brands trust. We are a fully distributed team across the U.S. with a focus on responsible AI and an inclusive culture.
Own critical platform domains and shape architectural direction for a small team of staff engineers.
Design scalable, secure, and cost-efficient AWS-native distributed systems with deep backend and cloud expertise.
Lead cross-functional technical initiatives, align stakeholders, and mentor senior engineers to raise engineering standards.
Agiloft is a leading provider of data-first contract lifecycle management (CLM) software that helps organizations manage the end-to-end contract process. It is a growing, vibrant company with a strong focus on employee experience, diversity, and inclusion, supporting multiple Employee Resource Groups and offering flexible benefits.
Lead a team of backend engineers on Core Services, owning people, execution, and outcomes.
Stay technically credible on critical-path systems, reviewing designs and debugging as needed.
Champion an AI-native culture, using AI heavily in your own work and coaching the team.
Benepass provides a fintech platform that lets companies customize benefits for their employees' individual needs. Backed by leading investors, the company has raised ~$75M in equity and was listed on Inc. Magazine's Best Workplaces of 2023. They foster a culture of high trust, accountability, and AI-native work.
Act as the bridge between architectural intent and operational reality, mediating conflicts between security requirements and feasible implementation.
Implement preventive, default-on security controls across cloud and enterprise environments, codified as policy- and infrastructure-as-code.
Define and enforce security requirements for AI-powered features, including model access controls, prompt-injection mitigations, and output validation.
Rithum is the world's most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. More than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV.
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.
Operate as a technical leader shaping architecture and quality, mentoring developers, and translating technical decisions into business value.
Design, build, and operate agentic AI systems including LLM services, retrieval pipelines, and multi-agent orchestration with end-to-end accountability.
Lead AI-augmented development practices, evaluating emerging technologies and establishing team-level guardrails for safe and effective AI tool use.
Caseware is a Canadian fintech company that has led the global audit and accounting software industry for over 30 years, serving over 500,000 users across 130 countries. With more than 36,000 professionals listing Caseware as a skill, they foster a culture of independence, innovation, trust, and accountability in a growing global SaaS environment.
Design and build production AI agent systems for diagnosing and remediating infrastructure issues in large-scale GPU environments.
Develop distributed services, orchestration frameworks, knowledge graphs, and retrieval systems to power AI agents.
Own services end-to-end from architecture through production, collaborating with infrastructure and engineering teams.
The company builds AI agents that operate and automate large-scale GPU infrastructure. The engineering team is highly collaborative and remote, fostering ownership and autonomy.
Own and drive technical strategy across multiple squads, shaping architectural decisions with lasting impact.
Tackle the company's most ambiguous technical challenges, turning loosely defined problems into scalable solutions.
Build shared systems and platform capabilities that enable engineering teams to move faster and deliver more effectively.
Onebrief builds collaboration and AI-powered workflow software for military planning and operational coordination. They are a distributed team of builders from military, operational, and technology backgrounds, backed by leading investors and valued at over $2 billion.
Define and execute the strategic roadmap for AI-driven security services, threat intelligence, and security automation.
Design AI-powered security architectures spanning detection, investigation, response, remediation, and managed service workflows.
Build intelligent threat intelligence and research platforms capable of collecting, correlating, enriching, and analyzing information from diverse sources.
Our partner is a company focused on transforming cybersecurity through AI, automation, and intelligent security operations. They offer a work environment with opportunity to work on challenging, high-impact AI and cybersecurity initiatives alongside experienced professionals.
Build and maintain core components of the clearing house in Go on GCP, including customer onboarding flows and data ingestion pipelines.
Take ownership of ambiguous problems and specific features, driving them from design through production with appropriate testing and observability.
Design, implement, and operate reliable agentic workflows that automate complex, multi-step tasks across production systems.
Chainguard is the trusted source for open source, delivering hardened, secure, and production-ready builds of open source software. The company is venture-backed by leading investors and serves Fortune 500 enterprises, including OpenAI and Snowflake.
Shape technical direction of an engineering team delivering high-impact government services.
Drive reliable software delivery by improving how the team builds, tests, and ships systems.
Mentor engineers and foster sound technical judgment and collaboration.
Code for America is a nonprofit that uses technology to improve government services. With a team of motivated change agents, the culture emphasizes transparency, fairness, and deep empathy for partners and communities served.
Architect and build production AI-agent systems like AIDA and NOVA, shaping how Yuno applies LLMs and agentic AI to payment problems.
Design conversational and multilingual agents that hold real customer conversations across channels, optimized for reliability and low latency.
Define evaluation, safety, and guardrails for agentic systems in a compliance-sensitive, multi-market environment.
Yuno is the AI-native operating system of global commerce, powering financial infrastructure for enterprise merchants, banks, and wallets. It connects over 1,000 payment methods across 190+ countries, trusted by global brands like McDonald's and Rappi, with a remote-first culture.
Architect and automate business systems ecosystem integrating SaaS, cloud, and identity platforms.
Build APIs, integrations, and internal tools to improve global team workflows.
Implement security and compliance measures including identity lifecycle and Zero Trust.
Our partner is a technology organization focused on transforming internal IT operations through automation and platform engineering. They operate with a globally distributed, remote-first team that values autonomy, innovation, and continuous improvement.
Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.
Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.
Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.
Together AI is a research-driven artificial intelligence company that builds open and transparent AI systems. The company has contributed to leading open-source research like FlashAttention and RedPajama, and aims to lower the cost of modern AI through co-designed software, hardware, algorithms, and models.