Staff Software Engineer

extend; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Relocation

Unlimited PTO

Lunch & snacks

Tooling access

Learning & development

Job summary

Extend is building a modern document processing cloud and seeks a Software Engineer to help power our core platform in New York City. You’ll craft scalable systems for processing vast, unstructured data and deliver intuitive product experiences with strong attention to detail.

As a founding team member, you’ll own substantial areas of product and engineering, working directly with the CEO and CTO to shape a rapidly evolving platform at the intersection of LLMs and data processing, with

Qualifications

• 7+ years of experience building complex software systems in production environments.
• You've been at high-growth startups and know what "great" looks like.
• Ability to take abstract projects end-to-end, operating with high agency.
• Experience deploying AI/ML systems into production environments.
• Experience with developer tools is a plus.

Responsibilities

• Build, and maintain, durable, scalable systems capable of processing 10s of millions of data points per month.
• Design and implement intuitive human-AI interfaces for document processing and UX patterns.
• Own large areas of product and engineering with direct customer interaction.
• Collaborate with leadership to grow the team and roadmap.

Skills

7+ years exp

Startup experience

End-to-end ownership

AI/ML in prod

Developer tools exp

Tools

AI deployment tools

Job description

Extend is building a modern document processing cloud. We're on a mission to transform how the world works with unstructured data.

As a Software Engineer at Extend, you’ll be responsible for building our core platform that companies use to deploy document processing. We’re looking to hire exceptional engineers who care about crafting intuitive product experiences, relentlessly focus on the details, and operate with high agency.

Why you should consider joining

• We've grown revenue 4x last year to several million ARR, with our growth continuing to accelerate

• We have a product loved by users and being used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr), and many more

• The market for document processing has expanded 1000x due to LLMs, and all existing solutions are low NPS

• We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact

• We've raised our series A & de-risked the business, but there's tremendous upside ahead; now's the perfect time to join.

• You'll be joining a talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership

• We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human AI interfaces

• You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly

We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our team and execute on an ambitious roadmap.

Impact

We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex technical problems we're working on:

• How do we build the most accurate document ingestion system?

• How do we enable enterprises to deploy LLM-powered document processing into production with confidence?

• How do we handle never before seen edge cases in customer data?

• How do we build a self-correcting system that automatically gets better over time?

• How do we enable non-technical domain experts to improve models with their expertise & business logic?

• How do we help customers make tradeoffs between latency, cost, and performance?

• How do we build reliable systems that can process large data streams in real-time?

Role

• Build, and maintain, durable, scalable systems capable of processing 10s of millions of data points per month.

• Design and implement the best human AI interfaces for designing and understanding document processing. We are building a new territory of UX that previously did not exist. It’s up to us to discover and implement new patterns that work for our users.

• Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.

• Work directly with the CEO, CTO, and other founding members and help build out our team.

Ideal Candidate Credentials

• 7+ years of experience building complex software systems in production environments

• You've been at high-growth startups and know what "great" looks like

• Ability to take abstract projects end-to-end, operating with high agency

• Experience deploying AI/ML systems into production environments

• Experience with developer tools is a plus

Benefits

Beyond the below, we care deeply about each of our candidates on a personal level. We take the time to understand your needs to craft a package designed for you:

• Insurance - 90% health insurance premium coverage

• Relocation - for candidates based outside of NYC

• Unlimited PTO policy - we trust everyone like owners, take what you need

• Daily lunch & snacks covered (plus dinner if you're in the office late) - you'll never go hungry and you help pick the snacks

• Unlimited token / tooling access - no handicaps on your productivity

• Learning and development investment - we invest heavily in our team and support your growth

Extend is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, citizenship status, marital status, pregnancy, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.