Engineer, AI Engineer

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

We’re hiring a Growth Engineer to join our founding team and own technical distribution. This role sits at the intersection of engineering, product, and GTM
, and is focused on shipping real technical artifacts that earn developer attention and drive adoption.

This is a hands‑on engineering role. You will be writing code.

• We grew revenue 400% last year, with growth continuing to accelerate

• Extend is used in mission‑critical workflows at companies like Chime, Flatiron Health, Brex, Opendoor, Checkr, and more

• The document processing market has expanded 1000× due to LLMs — and existing solutions are brittle and low‑trust

• We punch far above our weight with a lean team — every hire has outsized leverage

• We’re solving novel problems at the intersection of LLMs, evals, complex data pipelines, and human‑in‑the‑loop systems

• Backed by world‑class investors (YC, Homebrew, investors from OpenAI, and more)

• You’ll work directly with the CEO, CTO, and founding team with real ownership

Document processing is exploding. Developers are actively evaluating tools and asking: what actually works?

Your job is to answer that question publicly and credibly.

This role exists to:

• Own technical distribution for Extend

• Build artifacts developers trust because they can inspect and test them

• Shape how the market understands document processing, OCR, and extraction

Success looks like shipping projects that drive real usage, pipeline, and category leadership — not vanity metrics.

You will build and ship technical growth experiments end‑to‑end.

Responsibilities include:

• Build public‑facing technical projects (e.g. OCR Arena (ocrarena.ai), benchmarks, demos, microsites)

• Design and run benchmarks for document processing (accuracy, latency, cost, tradeoffs)

• Ship technical demos, reference implementations, and eval harnesses

• Write production‑quality code across the stack

• Own projects from idea → build → launch → iteration

• Instrument experiments and tie them back to adoption and revenue impact

• Partner closely with Engineering, Product, and GTM

• Move fast, test aggressively, and kill ideas that don’t work

You likely have:

• Strong engineering fundamentals and experience shipping real systems

• Comfort working across the stack (frontend, backend, infra, data)

• Experience with APIs, datasets, evals, or developer tooling

• Background in high‑growth startups or highly ambiguous environments

• Ability to communicate clearly with a technical audience

You might have:

• Built tools, benchmarks, or demos that became externally useful

• Written technical content grounded in systems you actually built

• Shipped side projects that attracted real developer usage or attention

• Worked at the intersection of product, engineering, and growth

You definitely have:

• High agency and velocity

• Strong technical taste (signal > noise)

• A founder mentality — no task is beneath you

• Obsession with outcomes, not activity