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The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, reliability, control, and security.
OpenAI acquired OpenClaw. Meta paid $2B for Manus. The agent platform layer is becoming one of the most important layers in the stack.
At Kindo, we’re already there. Our platform runs autonomous agents in production at real enterprises, automating DevOps and SecOps workflows with real permissions, real consequences, and real reliability requirements.
Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.
We’re a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape the platform’s technical direction and long-term evolution.
You will define and evolve the architectural foundations of Kindo’s agent platform. This is applied systems engineering at the frontier of AI-native development, not ML research and not chatbot wrappers. You’ll work on agent execution frameworks, memory architectures, multi-model execution, secure tool-calling integrations, and the platform primitives that determine what autonomous systems can reliably do.
This role requires invention and unusually strong technical judgment. Many of the paradigms for agentic systems are still emerging. You’ll continuously track the ecosystem, explore new approaches, prototype quickly, and decide what becomes the platform’s durable foundation. You will identify the highest-leverage architectural opportunities, the failure modes most likely to bite us, and the guardrails and abstractions that let the system scale safely.
Principal engineers at Kindo are builders and inventors who help determine what the future of agentic systems should look like, while ensuring the platform remains reliable, secure, observable, debuggable, and maintainable under real-world conditions.
AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality. At this level, you also help define the engineering paradigm itself: how we use autonomous agents and AI-driven workflows to compound velocity over time while minimizing slop, security risk, and architectural drift.
You build with discipline. You create boundaries, verification strategies, and operational guardrails so systems remain understandable and controllable as autonomy increases. You ensure the platform can evolve rapidly without losing reliability and security.
We care far more about what you’ve built than what’s on your resume.
You:
Technical requirements:
Small team, high autonomy, high ownership. We move fast, prototype aggressively, and ship what works. We maintain high standards around reliability, security, and clarity. We value builders, explorers, and inventors who want to help define the future of agentic systems.
Compensation: $250,000–$330,000 base salary plus competitive equity
Location: Venice, San Francisco, Remote, or Hybrid
Send us:
We’ll move fast. The interview process is designed to see how you actually work, not quiz you on trivia.
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Apply to KindoKindo, the AI-Native Security and Infrastructure Automation Platform, is growing fast! We're looking for a sharp, execution-oriented Account Executive to help drive pipeline growth and close high-impact deals across enterprise and mid-market accounts. As one of Kindo’s early sales hires, you’ll play a critical role in landing new customers, shaping our go-to-market motion, and accelerating adoption of our AI-powered security platform.
The ideal candidate is an AI-first seller who understands how to run modern, outbound-driven sales cycles with clarity and precision. You’ll prospect into CIOs, CTOs, CISOs and DevSecOps leaders, navigate complex orgs, and close six-figure deals that solve real infrastructure and security challenges. You should be comfortable owning a full pipeline, building relationships, managing sales cycles, and delivering real business outcomes.
Strong communication, high standards, and a sense of urgency are a must. Experience in a quota-carrying role at an early-growth cybersecurity or AI startup is a huge bonus.
This role is a high-impact opportunity for someone looking to grow with a team that’s building for what’s next. You’ll sharpen your sales game, sell into a market that’s changing fast, and work with a product that actually delivers. It will be challenging and rewarding.
Position Overview:
As an Account Executive reporting to our VP of Sales, you’ll help drive top-line growth by owning the full sales cycle and bringing in new business. This is a quota-carrying role focused on landing enterprise and upper mid-market customers, with strong support from leadership, product, and marketing.
You’ll sell into the C Suite, security teams, and engineering leadership, helping them adopt AI-powered security workflows that reduce risk and accelerate delivery. The ideal candidate has a track record of exceeding $1M+ quotas, working complex sales cycles, and building lasting customer relationships. If you’re looking to join a fast-growing team and close meaningful deals, we want to meet you.
Compensation
Strong 50/50 base and commission split, with base salary in the $140K–$160K range and generous upside potential. Includes early-employee equity with meaningful ownership in a high-growth AI startup.
If you're a top-performing cybersecurity sales professional looking for your next big opportunity, we want to hear from you. Apply now and be part of building the future of AI-driven security!
Ready to apply?
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