openashbyhqforerunnerventures
Product Engineer
Alma
LocationPalo Alto
WorkplaceOnSite
EmploymentFullTime
Posted2026-05-18T17:40:59.993+00:00
Last observed2026-07-02 08:33:08.416949
Job idforerunnerventures-try-alma:ashbyhq:8000454d-db6c-4758-95ab-7cfca87726f3
Alma is an AI-native law firm. We combine AI with an exceptional legal team to deliver fast, transparent, and high-touch legal services at a fraction of the cost and speed of legacy firms. Our first market is immigration law. We're focused on simplifying complex immigration processes for companies and individuals, and disrupting the $15B market that has never seen an amazing product. We are backed by leading VCs such as Bling Capital https://www.blingcap.com/, Forerunner https://www.forerunnerventures.com/, Village Global https://www.villageglobal.vc/, NFX https://www.nfx.com/, Conviction https://www.linkedin.com/company/convictionvc/, MVP Ventures https://www.mvp-vc.com/, NEA https://www.nea.com/ and Silkroad Innovation Hub. https://silkroadinnovationhub.com/ 🧠 FOUNDING TEAM The founding team has an extensive background in the legal industry, consulting, and building ML platforms. - Shuo https://www.linkedin.com/in/shuochen05/ - CTO & Cofounder: Shuo built the ML Platform (Michelangelo) at Uber for 5+ years after which he was the head of AI & ML team at a SupportLogic (a series B startup using predictive & generative AI for customer support). - Aizada https://www.linkedin.com/in/aizadamarat/ - CEO & Cofounder: Aizada is a graduate of Harvard Law School, an attorney with 7+ years of experience including working at a top law firm such as Cooley and an ex-McKinsey consultant. 🔍 WHAT WE'RE LOOKING FOR We're hiring a Product Engineer — a backend-leaning, AI-native engineer who owns features end-to-end, from database schema to the React component the user clicks on. You'll work directly with the founding team and early customers to ship a world-class AI-powered product, and help us scale our platform by 100x. We need you to be in the 99th percentile of having a "can-do" attitude. You need to be deeply customer-obsessed. At Alma, "customer" means two distinct groups, and you'll serve both. The first is our external customers - companies and individuals navigating immigration, often under stressful, high-stakes circumstances. The second is our internal legal team - the attorneys and paralegals who use our platform every day to do their work. They are just as much your customer as anyone paying us. If a workflow is clunky for them, that's a bug. If a tool saves them two hours a day, that's a feature worth shipping yesterday. The best engineers we'll hire will sit with the legal team, watch them work, and obsess over making their lives better - not just take requirements via Linear tickets. We're moving away from the old model where backend engineers only do backend. At Alma, the engineer who designs the API also builds the UI that consumes it. This isn't because we expect everyone to be a design genius — it's because shipping a feature end-to-end is faster, higher quality, and more fun than throwing work over a wall. With modern AI tooling, the traditional excuse of "frontend isn't my strength" no longer holds. If you're a strong backend engineer who's been intimidated by frontend, this is your moment - Claude Code and Cursor flatten that learning curve dramatically. You also need to be an AI-native engineer. We don't just build AI products - we build with AI. You should already be living inside modern coding harnesses (Claude Code, Codex, Cursor, etc.), wiring up MCP servers to extend your own workflow, and treating agents as a core part of how you ship. If your first instinct when facing a new problem is still "let me open a blank file and start typing," this role isn't for you. If your instinct is "let me spin up an agent to scaffold this, then review and harden it," keep reading. You see problems as work to do, not things to complain about. We move fast. That means our codebase has rough edges, our processes are still being invented, and not every corner is beautiful yet - that's a feature of being early, not a bug. We want engineers whose instinct, when they hit a messy module or a missing test or a confusing abstraction, is "...
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