Staff Software Engineer (Backend)
Location: San Francisco, New York, or Remote (US)
On-site/Remote| Full-time
Compensation: $225K – $300K
We aren't building another chatbot or a "copilot" to sit on a sidebar. We are building the next generation of the workforce: Autonomous AI Employees.
Our flagship product is an AI Business Development Representative (BDR) that doesn't just assist a sales team—it joins it. She researches leads, manages her own deliverability infrastructure, handles objections, and books meetings autonomously. With over $8M ARR, $35M+ in funding (including Y Combinator), and a rapidly growing customer base, we are now tackling the engineering mountain of "Ava 2.0." We are looking for foundational engineers to build the backend orchestration that makes autonomous digital workers a reality.
The Role
As a Staff Software Backend Engineer, you will build the engine that allows AI employees to think, act, and evolve. This is a high-leverage role where you will own major portions of a platform that replaces an entire enterprise sales stack—including CRM, lead databases, and campaign engines—within a single product.
Key Responsibilities
- AI Orchestration: Design and build the high-throughput pipelines that allow our AI to process millions of signals (lead data, engagement metrics, behavioral patterns) and make real-time decisions.
- Platform Ownership: Build and scale the infrastructure for email deliverability, inbox management, and complex AI coordination.
- End-to-End Execution: We don’t separate architecture from implementation. You will design, build, deploy, and monitor your own systems.
- Rapid Iteration: Work in a flat engineering org with zero red tape. We ship constantly and move at the speed of a high-growth startup.
Our Tech Stack:
- TypeScript / Node.js
- PostgreSQL, Redis
- Kubernetes, AWS (ECS, EC2)
- Mastra, Temporal, Langfuse
- Experience: 6+ years of backend experience, ideally in a high-growth startup environment where you owned systems from ideation to production.
- Technical Depth: Deep understanding of distributed systems, database performance, and API design. You should be comfortable building data-intensive services at scale.
- AI-Native Workflow: You are a "5x engineer" who knows how to leverage modern tools (like Claude Code) to accelerate your output.
- Infrastructure Savvy: Experience with cloud-native infrastructure, including containers, orchestration, CI/CD, and observability.
- Ownership Mindset: You have strong opinions on reliability and testing but possess the judgment to know when to move fast to hit market windows.
- Language Proficiency: TypeScript/Node is preferred, but we value strong fundamentals in Python, Go, or similar languages.
- Meaningful Impact: You’ll be working on non-trivial backend complexity involving autonomous agents making real-world decisions.
- High Ownership: Small team, massive scope. There are no layers between your code and the customer.
- Competitive Compensation: A strong base salary and significant equity in a company with proven revenue and traction.
- Culture of Excellence: Join a "winning team" environment—low ego, high standards, and direct communication.
- Flexibility: Positions available in San Francisco, New York City, or Remote (US).
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
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