Technical Program Manager - LO\S

Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by **LOIS**, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. ### Job Summary 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. This is a foundational role with significant organizational impact, establishing and maintaining the program infrastructure, processes, and visibility mechanisms that allow a large and growing team to execute with speed and confidence. ### Responsibilities - Own the master program plan for LOIS feature development, maintaining a transparent, grounded, continuously updated view of timelines, milestones, and cross-team dependencies that will be used across the organization - Proactively identify, track, and resolve blockers and dependency risks across engineering, product, design, ML research, data science, SRE, and operations, working independently and in concert with senior product and engineering leadership - Establish and evolve lightweight coordination and delivery infrastructure, including rituals, tooling conventions in Linear, and communication norms, that cultivate strong cross-team alignment - Serve as the key connection between the core LOIS development teams and supporting stakeholder functions (QA, operations, etc.), ensuring timely engagement to enable smooth, rapid feature delivery - Absorb and manage the impact of unexpected changes, delays, and discoveries during development by updating forecasts, communicating tradeoffs, maintaining coordination without losing delivery momentum - Partner closely with product and engineering leadership on release planning, ensuring that program structure reflects and supports strategic priorities - Build and maintain a culture of transparency and accountability across the program, ensuring that status is honest, risks are surfaced early, and teams have what they need to do their best work ### Qualifications - 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 - Strong communication and stakeholder management skills, with the ability to earn trust and influence outcomes across engineering, product, research, and operations without formal authority over any of them