Senior Technical Project Manager

WHAT YOU’LL DO 

• Lead the end-to-end delivery of complex technical initiatives across engineering domains 

• Drive alignment on business outcomes, scope, sequencing, risks, dependencies, ownership, and success measures across multiple teams 

• Translate ambiguous goals into clear execution plans, operating rhythms, decision points, and accountability structures that enable teams to move faster 

• Operate as a strategic delivery leader by asking the next question, surfacing gaps, and pushing for the rigor needed to execute well 

• Challenge weak assumptions, plans, timelines, and inputs when needed to improve decision quality and reduce delivery risk 

• Identify risks early, assess impact, drive mitigation planning, and escalate with recommendations rather than simply reporting problems 

• Partner closely with engineering leaders and teams to understand technical context, architecture implications, dependencies, and delivery constraints well enough to guide execution credibly 

• Provide concise, leadership-ready updates focused on progress, risks, changes, decisions needed, and recommended actions 

• Facilitate discussions that drive teams to closure on priorities, tradeoffs, commitments, and next steps 

• Improve execution quality by identifying patterns, friction points, and systemic gaps across teams and helping implement better ways of working 

• Explore, adopt, and help scale AI-enabled tools and practices that improve project management, including planning support, technical synthesis, status reporting, dependency analysis, risk detection, and decision support 

• Lead or support initiatives tied to AI-enabled product capabilities, AI experimentation, and AI-related engineering investments as priorities evolve 

• Partner effectively with engineering and product leaders as the organization increasingly incorporates AI into its product strategy, development approach, and internal tooling 

• Travel as needed for team and company meetings 

WHAT WE’RE LOOKING FOR 

Required 

• 5 to 7 years of experience leading medium to large technical projects or programs in cloud, SaaS, infrastructure, or engineering-focused environments 

• Advanced proficiency with Jira Cloud, Jira Advanced Roadmaps, Confluence, and Asana  

• Demonstrated ability to lead complex cross-functional work across multiple engineering teams with differing priorities, tools, and delivery styles 

• Experience driving alignment, decision-making, and delivery across senior engineers, engineering managers, and cross-functional leaders in a fast-moving environment 

• Strong technical fluency and systems thinking, with the ability to understand architecture-level concepts, technical dependencies, and engineering tradeoffs 

• Clear understanding of cloud infrastructure, automation, CI/CD, observability, and modern engineering practices, with the ability to apply that context in planning, dependency management, and delivery decisions. 

• Proven ability to create clarity in ambiguous situations and translate incomplete information into actionable execution plans 

• Track record of identifying delivery risks early, driving mitigation, and improving outcomes through proactive intervention 

• Proven ability to describe delivered work in terms of outcomes, metrics, tradeoffs, and business or engineering impact, not just activities completed 

• Strong judgment and executive communication skills, including the ability to synthesize complexity into concise, decision-ready updates 

• Demonstrated ability to influence without authority and hold teams accountable through partnership, credibility, and follow-through 

• Hands-on experience working with GitHub and related engineering workflow tooling to support planning, execution tracking, issue management, and cross-team coordination. 

• Practical interest in AI and emerging technologies, including hands-on use of AI-assisted tools to improve delivery outcomes or team workflows 

• Comfort operating in an organization that is actively increasing investment in AI-driven product capabilities and AI-enabled engineering practices 

Preferred 

• Experience working in Azure, AWS, or GCP-based environments 

• Experience working with distributed engineering teams across regions, including the ability to drive alignment, accountability, and execution across time zones and differing team norms 

• Experience supporting engineering efficiency, platform automation, cost optimization, or operational improvement initiatives in technical environments 

• Experience building or improving TPM operating models, governance, reporting, or portfolio-level execution practices 

• Experience using AI tools to support planning, communication, meeting synthesis, reporting, risk identification, dependency analysis, or workflow automation 

• Exposure to AI or machine learning initiatives through direct project support or self-driven learning and experimentation 

• Experience managing cross-team planning, and operating effectively even when data quality is imperfect 

• Relevant project or program management certifications such as PMP, PMI-ACP, PMI-RMP, or equivalent Agile credentials 

WHY WE COULD BE A GREAT FIT 

Impactful Mission 

• Help teams deliver technology that enables organizations to organize data, discover the truth, and act on it in high-stakes legal and regulatory matters. 

Growth Path 

• Opportunities to work across complex infrastructure and platform initiatives while influencing how teams plan, execute, and adopt AI-enabled ways of working. 

Engineering and Delivery Culture 

• Strong emphasis on judgment, accountability, execution quality, and continuous improvement without unnecessary process overhead. 

Inclusive Environment 

• Diverse backgrounds and perspectives are valued and make us stronger. 

Community Impact 

• Volunteer opportunities and company-sponsored charitable programs. 

Compensation and Benefits 

• Competitive salary, annual performance bonus, long-term incentives, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program.