Software Engineering - Machine Learning

Mintive helps companies put agents to work safely. We exist to help companies do more of their work with agents, and we build the infrastructure that makes a company's own work runnable by them. Our first product is an MCP gateway that gives those agents governed access to company data and tools.
Before agents can touch Slack, GitHub, Jira, Snowflake, internal databases, or production systems, you need to know what they can reach, what they did, and why they were allowed to do it. Our gateway product scopes that access down to exactly what an agent needs to do its job and captures the data flows and audit logs security teams need. From there we are building the rest of the agent stack: connectors, monitoring, sandboxing, long-running agents, and memory, with the goal of becoming the system a company's work runs on.
The structure is flat and the market moves fast, so you have a lot of latitude over what you work on and how.
We are AI-native. They run in Slack alongside the team and handle sales, marketing, deal ops, and engineering on the same gateway we sell to customers, and we are building an entire company operating system around them.
Since launching in February 2026, we have grown to 50+ paying customers, with strong inbound demand. Customers include Coursera, Arlo, and Braze. We are backed by Cowboy Ventures and Coatue, with angels including Frederic Kerrest (Okta), Michael Grinich (WorkOS), Andrej Karpathy, Jeff Dean, and Scott Belsky. Our founders are machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain and Waymo, and one co-founded Coursera.
You will own features end to end, from conception to production, across our gateway infrastructure, enterprise deployments, and agentic systems. The work leans backend and infra, but nothing is off limits: when the product needs a better UI you build it, and when a connector breaks during a security review you fix it.
Claude and Codex are your primary working environment, and you use a fleet of agents to move faster than a team this size has any right to. Agents write much of the code and review PRs, so your real job is the judgment they cannot make: shaping the problem, making architecture, product, and UX calls, hardening enterprise paths, designing connectors, protecting security-sensitive surfaces, and catching generated code that is quietly wrong. Roles are blurred and we ship within hours, and you will learn directly from the founders and from customers.
We hire across levels, from strong early-career builders to seasoned engineers, and we set level and pay to match. What matters most is judgment, range, and how fast you ship.
You are a builder with a track record of shipping to real users, whether that is a product, an internal tool, an open-source project, or a serious side project. You ship, then iterate, without waiting for specs or approvals.
You care about product value and customer needs over technical purity.
You think about blast radius, trust boundaries, and what happens when your code is in the path of every customer's agents.
You are comfortable across the stack (TypeScript, Python, CockroachDB), or you pick up new languages, protocols, and domains fast.
You are excited to build with agents, and to learn when they help and when they hide a problem.
You already build with AI every day and want room to move without heavy process.
Competitive compensation and meaningful equity.
Unusual scope and ownership of features that ship to enterprise customers.
Building and deploying agents on the same platform we sell.
Direct access to the founders, customer context, and product direction, with mentorship as you grow.