Program Manager, Product
Auto ImportDescription:
- Own execution of the Product Legal Program and keep workstreams moving forward.
- Track compliance rollouts and monitor global legal and regulatory updates.
- Manage incoming legal requests and route them to the appropriate stakeholders.
- Build, maintain, and optimize Jira workflows and automations to reduce manual overhead.
- Partner with the team to build, maintain, and deploy AI tools, agents, and prompts for legal operations.
- Collect, maintain, and analyze operational metrics and dashboards for leadership visibility.
- Streamline how legal advice is delivered to engineering and product teams.
- Identify operational bottlenecks and implement workflow or technical improvements to scale the legal organization.
- Hold cross-functional stakeholders accountable to deadlines and project schedules.
Requirements:
- Program management or paralegal experience within a fast-paced in-house technology company or a technology-focused law firm.
- Familiarity with legal concepts and the software development lifecycle is highly valued.
- Experience with or strong interest in AI productivity and coding tools such as Claude Code, Cursor, or prompt engineering for workflow analytics.
- Experience with Jira or similar project tracking systems to build and maintain operational infrastructure.
- Any coding experience is a plus.
- Proven ability to work independently with a high degree of autonomy and accountability.
- Strong project and compliance management skills, including tracking regulatory changes and rolling out compliance initiatives.
- Excellent verbal and written communication skills with the ability to engage senior legal counsel and align cross-functional teams.
- Bachelor’s degree from an accredited university or equivalent practical operational experience.
Benefits:
- Zone 2 pay range of $132,000 to $181,500 USD.
- Eligibility for an annual performance bonus.
- Eligibility for equity.
- Comprehensive benefits and perks package.
- Fair and equitable compensation practices with salary influenced by experience, certifications, training, and location.