About the Company

Our client is a fast-growing startup that helps software companies close more deals by automating data migration. Its computer-use and browser-use agents sign into whatever system of record a customer is moving away from, extract and clean that data, and load it into the new platform — collapsing what was once weeks of manual effort into a near one-click, end-to-end migration. Software vendors fold this into their post-sales process, eliminating the biggest reason their deals stall: prospects who won't switch because moving their data is too painful.

The company is scaling quickly. It closed a $15M Series A roughly six weeks ago (total raised to date; the round is otherwise unannounced), has grown ARR nearly 4x since the start of the year, has around 60 active deals in progress, and books 80–100 new meetings each month. Net revenue retention sits near 190% — once customers clear an initial trust threshold, they hand over their entire migration and post-sales data function. The initial focus is vertical SaaS (software built for fitness studios, dental practices, property managers, and similar), with a long-term addressable market spanning any software company that has a competitor.

The company's mission is to "make the internet liquid": if you pay for software, you should be able to take your data and move to a better product whenever you choose. The team is intentionally small, senior, and high-caliber. The founder/CEO spent nearly a decade as a CTO before launching the company. Headquarters is in Union Square, NYC, on-site five days a week.

About the Role

We're looking for product-minded, full-stack engineers who take problems from start to finish — frontend, backend, infrastructure, performance, and security. The company describes its engineering org as a "founders-in-training" program: you're expected to spend time with customers, develop a point of view on where the product should head, argue it out with the team, and then ship it. Having recently re-architected its platform to support much larger data-movement workloads, the company has opened up new product surface and a deep backlog of hard problems in durability, security, workflow, and large-scale data to take on.

Key Responsibilities

• Own features from end to end across frontend, backend, infrastructure, performance, and security.
• Work directly with customers, spot where the product needs to go, and feed that back into the roadmap.
• Build on the new architecture to enable large-scale, dependable data movement.
• Lean into AI heavily and agentically — while owning and standing behind everything you ship.

Requirements

• 4–5+ years of software engineering experience (most hires land closer to 6–8 years); strong, less-experienced candidates will be considered if they ramp exceptionally fast.
• Truly full-stack — able to carry a product slice from frontend through backend and infrastructure independently.
• Proficiency with the stack, or the ability to ramp quickly: React, Tailwind, TypeScript (frontend); Remix/TypeScript (backend); AWS, Cloudflare.
• A track record of shipping production software end-to-end and owning the result.

Nice-to-Haves

• Experience with large-scale data movement, migration, or systems-of-record integrations.
• Comfort operating in an AI-/agent-heavy engineering workflow.

Logistics

Location — New York City, on-site at the Union Square office five days a week. No exceptions.

Compensation — $150K–$215K + meaningful equity (everyone on the team is an owner).

Openings — 4+.

Benefits — Generous health insurance.

Interview Process

1. A short background conversation with the CEO.
2. A roughly one-hour take-home assessment (capture-the-flag style) in preparation for the systems interview.
3. A 60-minute systems design / architecture review with the CEO and a team member.
4. On-site — ideally a 2–3 day paid work trial shipping alongside the team (flexible depending on the candidate).