Solutions Architect

About this role

At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools.

We raised a $25M Series A from Lightspeed https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/ with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR, our customers range from your friends in the YC batch to Wabi, Glean, Zoom and many more.

WHAT YOU'LL DO?

- own technical relationships with top accounts across discovery, architecture, integration planning, launch, and tuning

- build proofs of concept end to end in Typescript, Python, our SDK, and the customer stack

- debug customer issues live - devtools, logs, repros, notebooks, and Github issues engineering can act on

- write reference architectures and reusable code patterns the next customer can use

- partner with engineering on the enterprise roadmap when repeated customer pain points become product primitives

- dogfood Composio to automate your own customer workflows

"MUST HAVES"

if you are very good, nothing is a must per-se

- applied engineering - you have shipped production code, not just demo code - you can make architecture calls under pressure and defend them in front of senior engineers

- customer technical ownership - you have carried a customer from first call to live deployment

- ai native - you have built with language models - you have built for language models - you keep up with what the frontier labs ship

- taste - you have finger feel for what makes a good developer experience

- typist - you can write docs well and explain complex ideas clearly

- human - you build trust and admit what you do not know

OPTIONAL

- multiple years writing Typescript or Python in production

- background at a developer tools or infrastructure company

- contributions to a major open source project

- started companies or built large side projects

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