Technical Project Manager | Startup Transforming legal tech with AI Latam

About the position Our partner is revolutionizing legal technology with AI-driven tools that enhance efficiency and accessibility for legal professionals. We're undertaking high-impact technology transformation, partnering with a high-volume immigration law firm to optimize workflows and streamline processes. Join us in building the future of legal tech, where impactful innovation meets user-centric design. The Technical Project Manager will establish operational excellence across our engineering organization, transforming how we plan, track, and deliver software. As we scale rapidly, our project management infrastructure needs to evolve from startup chaos to disciplined execution without sacrificing velocity. You'll work directly with the Senior Engineering Manager and engineering leads to bring structure to Linear, implement sustainable task management practices, establish reliable metrics, and create visibility that enables data-driven decision making. This role requires both technical credibility to earn engineers' respect and the assertiveness to enforce standards that keep us shipping predictably.

Responsibilities

• Linear Ownership: Serve as the primary owner of our Linear workspace, ensuring it accurately reflects reality at all times. Audit existing tasks, establish hygiene standards, and maintain the system as our single source of truth for all engineering work.
• Task Breakdown Facilitation: Work with engineering leads to decompose large epics into properly scoped, shippable work items. Establish standards for task sizing (2-5 day completions) and ensure consistent application across teams.
• Metrics and Reporting: Design and maintain engineering health metrics including cycle time, lead time, PR age, task completion rates, and delivery predictability. Build dashboards that provide actionable insights to leadership without overwhelming engineers.
• Process Implementation: Establish and enforce standards for task creation, updates, and closure. Create documentation, run training sessions, and ensure team-wide adoption of best practices.
• Project Execution: Track projects from conception through delivery, identifying blockers early and coordinating across backend, frontend, and AI engineering teams to ensure timely completion.
• Planning Facilitation: Run sprint planning, backlog grooming, and retrospectives with engineering teams. Ensure planning sessions are efficient, focused, and result in actionable, well-defined work.
• Cross-Team Coordination: Manage dependencies between teams, ensuring visibility and proper sequencing of work. Facilitate communication between engineering, product, and infrastructure teams.
• Stakeholder Communication: Translate engineering progress to non-technical stakeholders, providing clear project status updates and timeline visibility without creating reporting overhead for engineers.

Requirements

• Linear Expertise: 1+ years of hands-on experience managing engineering projects in Linear in a technical environment. You know the tool cold and can configure it to support complex workflows.
• Startup Experience: 2+ years in fast-moving startup environments, demonstrating ability to balance process with velocity and build systems from scratch.
• Technical Credibility: Background that gives you credibility with senior engineers, whether through previous engineering roles, CS degree, technical project management, or deep immersion in technical environments.
• Process Transformation: Proven track record of inheriting messy project management situations and transforming them into well-functioning systems. You've built or significantly improved PM processes, not just maintained existing ones.
• Execution Focus: Strong delivery track record with measurable improvements in engineering productivity, predictability, or process efficiency.
• Communication Skills: Excellent written and verbal communication, able to translate between technical and non-technical stakeholders clearly and concisely.
• Assertiveness and Influence: Ability to enforce standards and push back on poor practices while maintaining positive relationships. You can be firm about process without being a bureaucrat.
• Analytical Mindset: Data-driven approach to problem-solving, comfortable with metrics, analytics, and using quantitative evidence to drive decisions.
• Project Management Tools: Expert-level proficiency with Linear, including projects, cycles, views, automation, and API integration. 2+ years of hands-on experience required.
• Agile Methodologies: Deep understanding of agile/scrum practices, sprint planning, backlog grooming, estimation techniques, and retrospective facilitation.
• Engineering Metrics: Familiarity with DORA metrics, cycle time, lead time, throughput, and other engineering productivity indicators. Ability to design meaningful dashboards.
• Technical Context: Sufficient technical depth to understand software architecture, API design, database schemas, CI/CD pipelines, and infrastruc

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