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
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
Explore, adopt, and help scale AI-enabled tools and practices that improve project management
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.
Travel as needed for team and company meetings

Requirements

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
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
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
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.

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
Equity program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

cloud infrastructureSaaSautomationCI/CDobservabilitytechnical fluencysystems thinkingAI-enabled product capabilitiesengineering tradeoffsdelivery risk mitigation

Soft Skills

leadershipdecision-makinginfluence without authorityexecutive communicationclarity in ambiguityaccountabilitypartnershipproactive interventionjudgmentfacilitation