Join us
Taos is an early-stage company building the governance layer for enterprise AI agents. We're hiring across engineering, go-to-market, and customer-facing roles. If you want to help regulated teams deploy agents with real authorization, audit, and rollback — not slideware — read on.
Software Engineer — Kernel & Control Plane
Engineering — Remote — Full-time
You'll work across the Taos Rust kernel and TypeScript control plane — the two systems that sit between AI agents and every tool call they make. This is infrastructure work: distributed execution, policy enforcement, cryptographic audit, and saga-based rollback. The problems are real, the constraints are hard, and the correctness bar is high.
What you'll do
- →Implement and evolve the kernel's gRPC execution protocol — the bidirectional stream that coordinates agents, workers, and approval channels
- →Build and maintain tool adapters (REST/OpenAPI, SQL, MCP) through the unified adapter framework
- →Extend the ABAC policy engine: Rego bundle authoring, validation toolchain (Regal lint + Regorus shape check), and ephemeral token issuance
- →Harden the audit layer — fsync-before-execute, Ed25519-sealed Maildir records, SIEM sink delivery
- →Design and implement compensating steps for new workflow patterns — saga rollback, checkpoint escalation, human approval loops
- →Contribute to the control plane API (TypeScript/PostgreSQL): tool registry, tenant provisioning, policy management endpoints
- →Write real tests: unit tests for compensation logic, integration tests against a live kernel, fixtures for policy evaluation
What we're looking for
- →Strong systems instincts — you understand what happens when a network call fails halfway through a saga
- →Comfortable writing production Rust: ownership, async, error handling, no unsafe shortcuts
- →Experience with distributed systems concepts: at-least-once delivery, idempotency, saga patterns, or event sourcing
- →Familiar with gRPC/Protobuf and can read a proto spec and reason about streaming semantics
- →Security-conscious by default — you think about credential scope, token lifetime, and what an attacker could do with a compromised worker
- →Can read and write basic Rego; you don't need to be an OPA expert but you need to understand policy-as-code
- →Genuinely interested in what AI agents are doing to enterprise security posture — not as a trend, as a problem
Probably not a fit if…
- ×You rely on AI to generate code you can't explain or debug — we use AI tools too, but every line that ships needs an author who understands it
- ×You want to build agent demos — we build the infrastructure agents run on top of
- ×You prefer moving fast and fixing security issues later — our audit layer writes before it executes, by design
Nice to have
- →Experience with PAM, SIEM, or enterprise identity systems (you'll speak the language of our customers)
- →Background in financial services, healthcare, or regulated tech (you've seen what compliance actually requires)
- →Prior work on an on-premises or air-gapped deployment target
- →Familiarity with RFC 8693 (token exchange) or OAuth 2.0 DPoP
What we offer
- →Competitive salary and meaningful equity at an early stage
- →Work on a genuinely hard problem with a team that cares about correctness
- →Direct line to design partners in financial services, healthcare, and government
- →No performance theater — small team, real ownership, direct impact
Sales Development Representative (SDR)
Go-to-market — Remote — Full-time
You'll be our first dedicated pipeline builder — finding and qualifying teams in financial services, healthcare, insurance, and government who are deploying AI agents and hitting governance walls. This is outbound, research-heavy, and conversation-led: you're opening doors for design partners and early adopters, not running a spray-and-pray cadence.
What you'll do
- →Build and refine ICP lists and outbound sequences for security, compliance, platform, and engineering leaders
- →Run disciplined prospecting — email, LinkedIn, events, and warm intros — and book qualified discovery calls
- →Qualify inbound and outbound interest: use case, regulatory context, timeline, and technical fit
- →Maintain CRM hygiene and a clear handoff narrative for founders and sales engineering on every qualified opportunity
- →Feed market signal back to the team: objections, competitor mentions, and language that resonates in regulated buyers
- →Support early events, webinars, and content launches with targeted follow-up
What we're looking for
- →1–3+ years in B2B SaaS or infrastructure SDR/BDR roles — bonus if you've sold to security, compliance, or platform buyers
- →Comfortable selling a technical product you can learn deeply; you ask good questions and listen
- →Clear, concise written communication — your emails sound human, not templated
- →Organized and metrics-minded: you know your activity, conversion, and pipeline numbers
- →Genuine curiosity about AI agents in regulated industries — you read beyond the headline
Probably not a fit if…
- ×You need a fully built brand and playbook on day one — we're early; you'll help shape it
- ×You only want inbound leads — most of the role is proactive outbound
- ×You're uncomfortable talking to CISOs, compliance officers, and senior engineers
Nice to have
- →Experience with fintech, healthtech, or other regulated verticals
- →Familiarity with security, identity, or data infrastructure categories
- →Prior startup or seed-stage GTM experience
What we offer
- →Competitive salary and meaningful equity at an early stage
- →Direct access to founders and design partners — your feedback shapes positioning
- →Remote-friendly with real ownership of pipeline creation
- →Small team, no quota theater — clear goals and honest coaching
Sales Engineer — DevRel & Customer Success
Go-to-market — Remote — Full-time
You'll wear three hats that matter at our stage: prove TAOS in the room, earn trust with builders, and make design partners successful after they say yes. That means technical discovery and demos, hands-on integration support, developer-facing content and community, and the customer success muscle to land first production deployments in regulated environments.
What you'll do
- →Lead technical discovery, architecture conversations, and tailored demos for security, platform, and engineering stakeholders
- →Support proof-of-concept and pilot deployments — integration planning, success criteria, and escalation to engineering when needed
- →Own developer relations: sample integrations, docs feedback, talks, and credible presence with agent-framework communities
- →Drive customer success for early accounts — onboarding, adoption milestones, executive readouts, and expansion signal
- →Translate field feedback into crisp requirements for product and engineering
- →Create reusable assets: demo environments, runbooks, security questionnaires, and deployment guides
What we're looking for
- →5+ years across sales engineering, solutions architecture, devrel, or technical customer success — ideally in security, data, or infrastructure
- →Can go deep with engineers on APIs, identity, policy, and deployment models without overselling
- →Strong presenter and whiteboarder — you make complex governance concepts legible to CISO and engineering alike
- →Comfortable in regulated buyer cycles: procurement, security review, and compliance stakeholders
- →Builder mindset — you've shipped integrations, written technical content, or supported production rollouts
Probably not a fit if…
- ×You only want to demo and walk away — customer outcomes are part of the job
- ×You avoid developers and open-source communities — devrel is real work here
- ×You need a mature CS platform and playbooks — you'll help create them
Nice to have
- →Background with LangGraph, agent frameworks, or enterprise AI platforms
- →Experience with SOC 2, SOX, HIPAA, or FedRAMP sales cycles
- →Prior founder, consultant, or startup generalist who has done post-sales and pre-sales
What we offer
- →Competitive salary and meaningful equity at an early stage
- →Front-row seat on category creation — governance for enterprise AI agents
- →Work directly with founders and design partners across financial services, healthcare, and government
- →Ownership across technical GTM and early customer success — high leverage, high visibility