Sr. Product Manager AI

Mitratech

10d•$160,000 - $170,000•Remote

About The Position

Mitratech Legal Solutions builds software for corporate legal, risk, and compliance teams, managing legal matters, reviewing outside-counsel spend, generating contracts, and running legal holds. The company is now focusing on integrating AI to automate manual review, draft documents, and provide real-time insights into matters. This is a challenging role requiring accuracy, defensibility, and dependability at an enterprise scale, executed by a strong team of product, engineering, and design professionals. Mitratech has a long history, serving numerous large organizations worldwide.

Requirements

7+ years of product management experience, including building AI/ML or technically deep platform products.
Proven track record of shipping complex products to general availability on committed timelines in an engineering-intensive environment.
Ability to own ambiguous, cross-cutting problems independently and drive them to shipped outcomes.
Working fluency with generative AI and large language model product concepts, and comfort operating close to engineering and architecture.
Strong cross-functional leadership across engineering, design, and product, with clear written and verbal communication to senior stakeholders.
Enterprise B2B SaaS experience, ideally serving legal, risk, compliance, or other regulated functions.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice To Haves

An advanced degree (e.g., MBA or a technical master’s) is a plus.

Responsibilities

Own a meaningful area of Mitratech’s AI program end to end—from strategy and roadmap through delivery to production and general availability against committed dates.
Turn ambiguous, high-stakes problems into clear plans and shipped outcomes, deciding what matters most and driving decisions to closure.
Partner closely with engineering on an AI-dense platform to convert discovery into shipped scope, eliminating the gap between plans and delivery.
Translate customer and early-access feedback into a clear, prioritized view of what to build next.
Keep solutions coherent and reusable across the shared AI platform and the experiences built on top of it, rather than one-off per product.
Represent the product with senior stakeholders and customers, and raise the bar for product craft across the team.