• Extend is building a modern document processing cloud aimed at transforming how the world works with unstructured data.
• The role acts as the primary interface between customers and Extend throughout the customer lifecycle.
• The company has grown revenue 400% last year to several million ARR, with accelerating growth.
• Their product is used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr).
• The document processing market has expanded 1000x due to LLMs, with existing solutions having low NPS.
• Extend operates with a small team but supports strong customer and revenue metrics.
• The company has raised Series A funding and de-risked the business, offering significant upside potential.
• The team is talent-dense, high performance, based in NYC with high equity ownership.
• They tackle novel problems at the intersection of LLMs, complex data processing, and human-AI interfaces.

Impact

Ensuring our customers can successfully deploy LLMs into production is critical, and comes with never before seen challenges. We need to make sure we’re world class at this. Here's a few of the complex challenges you’ll solve:

• Enable enterprises to gain confidence in deploying AI
• Build solutions to handle never before seen edge cases in customer data
• Inspire non-technical domain experts to take ownership over LLM-based extraction instructions
• Architect the ideal evaluation experience for customers to create champions and advocates
• Help customers understand tradeoffs between latency, cost, and performance, and make the best decision for their use case

Role

Design and architect solutions to solve complex customer problems using Extend as the primary tool Write the playbook for how we should work with customers, and how we should incorporate feedback and learnings across the team. Build genuine relationships with our end users. You’ll need to figure out what problems other teams are experiencing, and naturally grow Extend within an organization. You’ll have the ability to travel onsite as needed Act as the primary technical interface for customers evaluating and running POCs with Extend Answer deep technical questions on API architecture, security, parsing mechanisms, on-prem deployments. Diagnose and resolve technical issues quickly. Give compelling product demos translating technical concepts into value propositions. Run and manage POCs from planning through execution to meet success criteria. Have complete ownership over work with direct collaboration with CEO/CTO.

Benefits

• 90% health insurance premium coverage
• Relocation support for candidates outside NYC
• Unlimited PTO policy
• Daily lunch & snacks covered (plus dinner if working late)
• Unlimited token/tooling access
• Learning and development investment

Compensation range: $175K - $250K plus equity.