# Technical Program Manager - LO\S at Filevine

- Company: Filevine
- What the company does: Backed by Insight.
- Company website: https://www.filevine.com/
- Type: Startups
- Level: Senior
- Location: United States
- Work setup: Remote
- Pay: $150K to $165K base salary per year (USD)
- Posted: 2026-06-17
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/filevine/ebbe11f4-0e03-4cf3-89a5-c06995c62d7c
- Page: https://www.1752.vc/careers/jobs/filevine-technical-program-manager-lo-s/

## About the role

Filevine is seeking a Technical Program Manager to lead cross-functional delivery of LOIS, our Legal Operating Intelligence System. In this role, you will own the end-to-end coordination of a large, geographically distributed program spanning engineering, product, design, machine learning, data science, and operations and ensure that complex, multi-team initiatives move from concept to customer with clarity and momentum.

## What they're looking for

- 7+ years of technical program management or equivalent experience delivering complex software across multiple geographically distributed teams in different disciplines
- Demonstrated ability to hold a large, multi-workstream program together under ambiguity: crafting plans, maintaining them under pressure, and communicating status credibly to both technical and executive audiences
- Deep familiarity with software engineering practice at a working level. Strong candidates should be comfortable in conversations about system architecture, APIs, infrastructure, and technical tradeoffs
- Proven track record of building coordination processes and infrastructure in environments where they did not previously exist, showing good judgment about deploying formal vs lightweight methods
- Strong experience with modern project and issue-tracking tooling (Linear, Jira, or equivalent), and critically the use of these tools to make dependencies and progress visible across a large base of contributors and stakeholders
- Experience working on products that incorporate ML or LLM-based components is a meaningful plus, particularly where model behavior, data pipelines, and research cycles intersected with product delivery timelines

Tags: Product