Senior Software Engineer

SupportFinity™; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

SupportFinity™ is seeking an experienced Full Stack Engineer to join our team in New York, NY. You’ll leverage your skills to build and ship innovative products while collaborating directly with founders and clients.

The ideal candidate has over 5 years of full-stack engineering experience, preferably at venture-backed startups. Responsibilities include developing features based on customer needs and actively participating in product planning.

Join us for an exciting journey in redefining the legal tech landscape!

Qualifications

• 5+ years of experience in full-stack engineering, especially in startups.
• Experience in building and scaling products in high-growth environments.
• Ability to communicate effectively with customers and team.

Responsibilities

• Build a category-defining product with the founders.
• Ship code multiple times per day based on customer feedback.
• Lead customer onboarding and product feature planning.

Skills

Full-stack engineering

Product sense

Autonomous operation

Communication skills

Technical leadership

Education

CS degree from a top university

Tools

AWS

React

TypeScript

Job description

About PointOne

PointOne is reinventing how law firms operate.

Our AI-powered timekeeper helps attorneys capture billable time automatically and provides rich insights that transform how legal work is managed. We’re a Tier 1 venture-backed startup (Y Combinator, Bessemer, 8VC, General Catalyst) made up of engineers (Google, Applied Intuition, Stanford) and ex-attorneys.

We are getting strong pull from the market and can’t keep up with the volume of customer demands — this is where you come in.

Who you are

You have 5+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

You Have

• A CS degree from a top university
• Significant experience at venture-backed startups and/or big tech companies
• Strong product sense
• High degree of ownership and the ability to operate autonomously
• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

You’re excited to work in-person at an early-stage company, talk to customers and get your hands dirty across a variety of products and domains.

What you'll do

You will work with the founders and early employees to build a category-defining product, continue scaling it to massive enterprises, and become a leader in the organization.

To accomplish this, you will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.
• You’ll listen to their needs and develop a plan based on the highest priority items.
• You’ll ship code to execute on the plan. We put new code into production multiple times per day.

We’ll do this every day, together, in-person, because we understand that every minute counts in the early days of a startup. This is going to be intense early-stage startup work; the person we hire is expected to become a leader and help form the company’s vision and culture.

Our tech

We have a fully server‑less backend built on top of AWS, consisting of a collection of Go microservices. We use React/Typescript to build client applications across web, desktop, and mobile. We create our own RAG pipelines.

Day in the life

• 9:30 AM. Join a call with a managing partner at a law firm (“KAJ Law”) that recently started using PointOne. They ask if our system integrates with Slack, but it does not. After the call, you draft a plan for the new feature—depending on the priority, you might target a same-day turnaround.
• 11:27 AM. As we’re working, we see that we’re running into a capacity issue causing a slowdown for some users. All hands on deck to figure out what’s going on and resolve the issue.
• 2:43 PM. Slack communication feature is complete. Deploy new code and email the team at KAJ Law to let them know about the new capability.
• 3:00 PM. Lead a new-customer onboarding call, taking note of the user’s reaction to the product.
• 5:45 PM. Team dinner. We chat about life, news, work, etc.
• 6:23 PM. With the big hurdles of the day overcome, time to go heads down see if we can incorporate vision models to improve the automated billing assistant.