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.
You own the architecture of Sondera's backend services, deciding how they are designed, scale, and fail closed.
You set the technical bar, run design review, and turn AI security research into enforceable systems-level guarantees.
In your first year, you write the architecture of record, prove verdicts replay exactly, and raise the bar on every principal hire.
Sondera AI agents act on what people write, enforcing policy through natural-language rules to ensure semantic integrity. Backed by Decibel, Runtime Ventures, and Aviso Ventures, their team has built products at Cylance, Databricks, and HiddenLayer.
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.
Design, develop, and deploy AI-powered tools, agents, and automation that streamline workflows across the organization.
Connect LLMs and AI applications with internal systems, APIs, and enterprise tools to enable intelligent operations.
Own the infrastructure, security, monitoring, and reliability needed to scale AI solutions in production.
Phantom is building a self-custody crypto wallet and trading app that provides access to global markets, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. The company is around 180 people, fully remote, and backed by a $150M Series C from a16z, Sequoia Capital and Paradigm.
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 quality for non-deterministic, multi-agent AI systems, building the evaluation harness that underpins AI governance.
Verify grounding and faithfulness, building automated checks to stop hallucinations from reaching production.
Red-team for prompt injection, jailbreaks, and tool misuse, and prove multi-tenant data isolation.
SOFICO Intelligence uses AI to extract value from back-office systems, building agentic AI for financial, leasing, fleet, and mobility data. Backed by global ERP leader SOFICO, it's a remote-first team of curious, self-directed builders.
Build and own evaluation infrastructure for Circle's AI agents.
Diagnose quality breakdowns across the agent pipeline.
Grow datasets and lead the AI Quality engineering team.
Circle builds an AI-powered all-in-one platform for digital businesses, uniting audiences with discussions, live streams, events, chat, courses, and payments. It's a fully remote team of about 270 people from 30+ countries, with an async culture and annual global offsites.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
Design and build automated evaluation pipelines for AI agents.
Develop testing frameworks for reasoning, multi-turn conversations, and adversarial scenarios.
Own the evaluation architecture and integrate observability tools in a fully remote team.
A company building production-grade AI agents and systems. They operate in a fully remote, globally distributed environment with a culture focused on innovation, autonomy, and continuous improvement.
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.
Design and build production-grade AI agents with LangGraph to automate multi-step workflows across internal teams.
Deploy and scale agents on Amazon Bedrock AgentCore, ensuring security, reliability, and cost efficiency.
Partner with internal teams to identify high-impact workflows and drive adoption through documentation and training.
Wrapbook is an AI platform for production finance, helping finance teams manage payroll, spend, and accounting for film, TV, and commercial productions. Trusted by teams at Netflix and Paramount, the 350+ person company is backed by major investors and focused on using AI to transform how finance teams work.
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.
Own the vision for applied AI solutions across Reddit's business and technical functions.
Build AI applications, agents, and automations that solve real business problems.
Mentor engineers and set technical direction for AI-native workflows.
Reddit is a community of communities, hosting open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Ship working software to production frequently, in small increments, and lead projects end to end from spec to launch.
Build and deploy AI agents and features for customers and internal teams, extending the enterprise context layer.
Provision and run infrastructure, own what you ship, and mentor engineers across the team.
Fleetworthy offers the only complete technology suite for fleet readiness, uniting safety and compliance, toll management, and weigh station bypass solutions. Trusted by 75% of the top fleets in North America, we support millions of vehicles and drivers and are recognized across the industry for innovation and leadership.
Own the context layer: manage what Mimo knows, when, and at what cost, with retrieval and memory as one budget.
Define tool contracts and build evaluation practice: schemas, results, failure modes, and regression gates for every change.
Shape how Mimo reasons, asks, explains, and recovers, and decide which model runs where.
MimoLabs builds Mimo, an agentic system for making physical things, from design to production across 3D printing, CNC, and laser cutting. We are a small, VC-funded, experienced team based in Detroit and remote across the US, fast, adaptable, and honest.
Build speech and text pipelines, LLM workflows, and integrations the client runs on.
Deploy to the client's cloud, instrument what you ship, and fix what breaks.
Write the tests, evals, and docs that keep it working after the engagement ends.
Lunon is an AI-native consulting firm that embeds engineers inside businesses to ship software. The team is young, fast-moving, and owns what they ship end to end, working with the newest tools.
Set technical direction for production agent systems, including orchestration, tool use, memory management, and failure recovery.
Build and operate shared foundations: evaluation frameworks, observability, execution controls, and model access with routing and failover.
Work with security and platform teams to ensure scoped permissions, data isolation, audit trails, and safe execution of tools and code.
Cobalt runs AI agents in production that test real customer applications, operating at the forefront of the pentesting industry. The company is rapidly expanding, offering a collaborative culture with mentorship, competitive compensation, and a focus on growth.
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 the GTM AI Engineering team, building AI agents, copilots, and workflow automations for Sales, Customer Success, Support, and Enablement.
Spend about 70% of your time hands-on building (prototyping agents, writing code, designing evals) and 30% leading strategy and influencing stakeholders.
Own the GTM AI platform architecture, evaluation frameworks, model routing, and adoption across the field.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a recent public company, Samsara values autonomy, long-term thinking, and a growth mindset, with a flexible remote-first culture.