Sola is an agentic process automation platform that makes it easy for companies to automate data entry, scraping, and processing flows using LLMs and computer vision – delivering results much faster and with less effort than traditional RPA tools. Backed by Y Combinator, a16z and Conviction.
About the role
Partner with our CEO, design, and engineering to set product strategy and own the roadmap, balancing near-term needs with long-term vision. Drive features end-to-end: requirements, crisp specs, stakeholder alignment, and keeping design, engineering, and go-to-market in lockstep.
What they're looking for
- Sharp product judgment paired with genuine design taste: a high bar for elegant, simple user experiences, and the instinct to sweat the details
- Enough technical fluency to go deep on a genuinely technical product domain and partner with engineering as a peer
- A clear, concise communicator who brings structure to ambiguity and can represent both users and engineering tradeoffs to any audience
- AI fluency: you explore and prototype with the latest AI tools, and you can reason about model capabilities well enough to make product calls
- You're open to working 5 days a week out of our office in NYC (we'll cover relocation!)
More about this role
At Sola, we’re transforming the way work is done. We’re developing AI agents that make powerful automation effortless, enabling any user to record a workflow and instantly scale it up to millions of executions.
Sola today powers enterprise workflows in Fortune 100 companies, with a horizontal platform that works across healthcare, finance, legal, logistics, and more. We’ve raised $21M in funding from a16z, Conviction (Sarah Guo), and Y Combinator, and are looking for passionate builders to help us continue to scale.
If you’re interested in being on the forefront of agentic automation, we’d love to hear from you!
Our goal is to bring Figma-level UI/UX excellence to enterprise AI workflow automation . Sola's automations run in real enterprise environments under complex constraints: they need to be intelligent and self-directed, but also predictable and consistent.
From the execution perspective, what should an agent be trusted to do, where does a human stay in the loop, and how do we make non-deterministic models operate reliably at scale?
From the building perspective, how can we make automation at scale easy for users in the world’s largest enterprises? How do we make enterprise...
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