Orange Slice

Agentic sales enrichment spreadsheet

Hiring — 1 openYC-S25B2B -> SalesEarly

What Orange Slice does

Orange Slice is a spreadsheet where every column is TypeScript—and AI writes it for you. Describe what you want in chat ("find the CEO's LinkedIn and get their email"), and we generate the code, create the columns, and run it across thousands of rows. Our fully-typed SDK has 100+ enrichments built in: LinkedIn, contact info, company data, web scraping, AI research. Columns automatically execute in dependency order. No workflow builders—just describe it or code it.

1 open role

Founding Engineer
San Francisco, CA, US / Remote (US)Full-timeAny (new grads ok)$150K - $250K0.50% - 5.00% equityVisa: US citizen/visa only
What the role involves

Founding Engineer — Orange Slice (YC) About Orange Slice Orange Slice helps revenue teams prospect, enrich, qualify, and automate GTM work with AI. Customers use it to turn messy intent and company context into actionable lists, enriched records, and workflows—from firmographics and contact verification to web research, social signals, and outreach drafting. The product spans a polished web experience (including spreadsheet-like execution and an AI agent) and tooling for builders who want the same capabilities in code or in Claude Code via a single install path. We sit at the intersection of B2B data, LLMs, and workflow automation—where reliability, cost control, and great UX matter as much as model quality. The role We’re hiring a Founding Engineer to own major slices of the product and infrastructure alongside the founders. This is a high-ownership, high-trust role: you’ll ship user-facing features, harden core systems, and help define how we scale—not just close tickets. You might work on: Core product: Next.js App Router surfaces (dashboard research tools, spreadsheet workflows, agent/chat UX), performance, and end-to-end flows from signup to paid usage. Data + AI execution: orchestrating long-running enrichment and research jobs, streaming UX, provider integrations, and guardrails (cost, retries, observability). Billing and usage: subscriptions, credits/ledger, org vs. personal accounts—systems that must be correct under load and easy to reason about. Platform: Supabase-backed Postgres (including RLS-aware patterns), background jobs (e.g. Inngest), and services that fan out heavy work reliably. 30 days You’ll ship improvements to our multi-step agentic research workflow (tool orchestration, reliability, and UX at the boundary between LLM reasoning and real data execution) and take primary ownership of our Inngest pipeline—event design, step boundaries, retries, observability hooks, and safe rollout patterns—working closely with whoever owns the batch service and API routes today. 60 days You’ll own a measurable slice of production reliability: cut a class of failures (timeouts, stuck runs, duplicate side effects, or stream resume issues), and instrument it so regressions are obvious (logs/traces/metrics—bonus if you’ve used LLM observability tools). 90 days You’ll lead a multi-sprint initiative that compounds—examples: faster/cheaper agent execution, a major schema/migration win, a billing/credits hardening project, or a step-change in streaming UX quality under load—documented with before/after metrics from production. What we’re looking for Strong TypeScript and comfort owning features full-stack (React/Next patterns, server routes, database design). Bias to ship: you break work into milestones, default to simple designs, and iterate with real users. Systems thinking: you care about idempotency, failure modes, and operational clarity—not only happy paths. Product sense: you ask who is this for and what must be true for them to trust it? especially around data quality and AI outputs. Bonus (not required): experience with Postgres at scale, Stripe billing, queue/workflow systems, LLM app patterns, or B2B data / GTM tools. Stack (for transparency) Next.js (App Router), React, TypeScript, Tailwind/shadcn, Supabase Auth, Postgres with Drizzle, Inngest, Stripe, PostHog, and a growing set of AI and data providers—plus dedicated paths for scraping and batch execution where latency and throughput matter.

TypeScript

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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.

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