Own the API service behind the Sondera console that serves all clients.
Design and implement versioned APIs, authorization models, and staged rollouts.
Turn AI security research into enforceable systems-level controls.
Sondera builds AI agents that enforce policies based on written rules to prevent harmful sequences. The team has experience at companies like Cylance and Databricks, and is backed by Decibel, Runtime Ventures, and Aviso Ventures.
Own the services that render verdicts on AI agents' actions and maintain the record of agent trajectories for enterprise security teams.
Keep trajectory reads fast at scale, design event models for all agent surfaces, and ship schema changes without production downtime.
Ensure every verdict cites exact events behind it for customer audit records.
Sondera works on the open problem of semantic integrity for AI agents, ensuring every action carries out what an authorized person meant by autoformalizing plain language rules into policy. Our small team has built products at Cylance, Databricks, and other security companies, backed by notable venture firms.
Deploy Sondera through customers' device management and integrate their agents, turning written rules into policy.
Own each customer's post-deployment success, including upgrades, policy tuning, and adversarial testing.
Collaborate with GTM to drive technical evaluations and expansions, bringing recurring needs back into the product.
Sondera builds AI agents that enforce written policies on agent actions, using natural-language rules. Their experienced team is backed by Decibel, Runtime Ventures, and Aviso Ventures, fostering a remote-first culture.
Build labeled evaluations from real agent activity and publish monitor precision and recall.
Run monitors across customer fleets and identify unread events.
Turn patterns into proposed policies and refinements for security engineers.
Sondera develops a policy engine for AI agents that enforces natural-language rules to ensure agents act as intended. The team includes veterans from top security and AI companies and is backed by leading venture firms, emphasizing a remote, writing-intensive culture.
Apply formal methods to measure and improve policy enforcement for AI agents.
Build automated checks for policy changes using simulations and solver-backed analysis.
Ship research results into the product quarterly, with metrics and rollback capabilities.
Sondera develops AI agents that enforce natural-language policies. The company is backed by Decibel, Runtime Ventures, and Aviso Ventures, and its team has built products at Cylance and Databricks.
Build and maintain features across CLI, backend, and frontend with AI coding agents as a core part of your workflow.
Take ownership of projects from idea through deployment and beyond, making architecture and design decisions.
Collaborate closely with teammates, operationalize quality, and contribute to a culture of support and excitement.
Minimal builds a secure, reproducible foundation for software with private artifact registries and policy enforcement. They are a small, remote team that values predictable and effortless software development.
Design and build the agent runtime, including dispatch, execution lifecycle, tool calling, and error handling.
Build the extension system and trust boundary, ensuring safe default actions and auditable permissions.
Design the context system and inference layer, with provider abstraction and observability.
Yaklabs is building a desktop AI application that turns knowledge workers into AI power users. The small, high-intensity team is funded and led by industry veterans.
Own a domain service end to end: schema, gRPC API, workflows, event consumers, tests, and documentation.
Design tables and queries; write replay-safe, idempotent workflows that survive partial failure.
Review pull requests from humans and agents; carry your service through production incidents.
Maximum Technologies is an AI infrastructure company for banks, building a core banking platform from the ground up. The company emphasizes end-to-end ownership, rigorous testing, and collaboration, fostering a culture of mentoring and continuous learning.
Ship backend features end to end, from a rough customer ask to running in production, often in days rather than weeks.
Build testing systems and harnesses that let agents ship changes safely, and work directly with customers when issues arise.
Utilize agents heavily in daily work, but have deep understanding of system architecture and participate in oncall.
Lumos is the industry's first Autonomous Identity Platform, providing software that surfaces and acts on access risk, with an AI agent named Albus for identity management. The company has grown from 20 to ~130 employees, raised over $65M from top investors, and is recognized as a top startup employer.
Work with customers to uncover problems and shape the product roadmap.
Build backend services in Go and Python that automate document-heavy construction workflows.
Own features end-to-end, ship quickly, and iterate based on real usage.
Scalera is an ETH Zurich spin-off building AI to automate document-heavy processes for the European construction industry. It's a small, flat team where engineers work directly with founders and take large ownership.
Build and maintain the backend systems powering ElevenLabs' managed services productions platform.
Own the scope of human data platforms, core productions engine, or editor platform using Rust and full-stack engineering.
Ensure reliability, scalability, and high quality in internal platforms and data pipelines.
ElevenLabs is an AI research and product company transforming how we interact with technology, providing AI voice, agent, creative, and API platforms. They have raised $781M in funding, valued at $22B, and serve millions of users and thousands of businesses with a high-velocity, impact-driven culture.
Own the architecture and evolution of APADCode's core backend platform and stateful AI interviewer runtime.
Design event-driven systems, coding execution infrastructure, and asynchronous pipelines for AI evaluation.
Build production-grade reliability, observability, and security across service boundaries and deployment workflows.
APADCode is an early-stage AI startup building live, adaptive technical interview infrastructure for evaluating software engineers. It is a small, founder-backed team focused on real hiring workflows and direct collaboration.
Own the access layer and integration architecture for the Applied AI team's Intelligence Core and external agentic-commerce products.
Define versioned schemas, signed records, authority lease services, and tamper-evident logging for verifiable agent actions.
Lead security-first engineering practices, including least-privilege access, zero raw PII, and evaluation of advanced agent frameworks.
Zerohash is a crypto and stablecoin infrastructure platform that powers digital money services for banks, brokerages, and fintechs. Founded in 2017 and backed by over $280 million in funding, the company is a regulated, compliance-first organization trusted by major financial brands.
Lead large-scale Sensor Platform initiatives in high-throughput ingestion, pipeline scalability, and queue management reliability.
Own root cause analysis and postmortems for complex production issues across capture pipeline and message broker integration.
Champion standards for documentation, observability, and performance benchmarks while mentoring engineers through reviews.
Dragos is a global leader in OT/ICS cybersecurity, combining technology, threat intelligence, and expert services to protect critical infrastructure. The remote-first team across North America, Europe, the Middle East, and APAC is built on authenticity, transparency, and trust.
Build and maintain scalable backend services, distributed systems, and APIs for the AgentControl product.
Collaborate with product managers, designers, and engineers to improve GenAI workflows and drive architecture decisions.
Take ownership of production code, participate in on-call rotations, and optimize performance, reliability, and scalability.
LaunchDarkly is a feature management platform that helps developers deliver and control software features safely. The company values humility, collaboration, and diversity, and is committed to building a high-trust, transparent team.
Develop the architecture and infrastructure needed to scale the product to a large user base.
Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
Take projects end to end across backend, infrastructure, frontend, and AI agents.
They are an early-stage AI infrastructure startup building scalable infrastructure for AI-powered service businesses. As the first engineer, you'll work directly with the founder in a fast-moving, ownership-driven culture.
Build and iterate on Rust backend features for the Knowledge Graph service, including query and indexing flows.
Maintain integrations across GitLab, including Rails, NATS, ClickHouse, and the Duo Agent Platform.
Contribute to design discussions and improve operational maturity with metrics, runbooks, and async collaboration.
GitLab is an intelligent orchestration platform for DevSecOps that helps organizations improve developer productivity and security. More than 50 million users and over half the Fortune 100 trust GitLab's all-remote, high-performance culture.
Architect, code, and deploy custom AI agents and automation solutions using Python and frameworks such as LangChain and AutoGen.
Build retrieval augmented generation (RAG) systems with LLMs, PostgreSQL/pgvector, and vector databases for secure data access.
Develop full-stack AI applications with secure APIs, CI/CD pipelines, and monitoring to deliver measurable ROI.
Geotab is a global leader in IoT and connected transportation, providing web-based analytics to help businesses manage fleets. It is a certified Great Place to Work with a fast-paced, inclusive culture.
Develop secure, well-tested features using Ruby on Rails and GraphQL to improve GitLab's source code experience.
Design and maintain backend services and APIs while supporting production reliability through performance tuning and observability.
Collaborate with cross-functional teams and use AI agents to speed delivery while critically reviewing their output.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to improve developer productivity and security. Trusted by over 50 million users and most of the Fortune 100, it fosters a high-performance culture built on shared values, AI adoption, and continuous knowledge exchange.
Own end-to-end delivery of agentic platform features, from design to production.
Architect and scale the runtime that powers AI agents across the company.
Mentor engineers and drive reliability, cost, and security in production.
Alan is a health insurance and prevention platform that integrates insurance, prevention, and care into a single user experience. With over 1,000 employees, 1M+ members, and 40K+ partner companies, the company fosters a culture of ownership, speed, and collaboration.