Posting Type
Remote/Hybrid
Job Overview
WHO WE AREJob Description and Requirements
WHAT YOUâLL DOÂ
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
Identifyrisks 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 byidentifyingpatterns, 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 WEâRE LOOKING FORÂ
Required
5 to 7 years of experience leading medium to large technical projects or programs in cloud, SaaS, infrastructure, or engineering-focused environments
Advancedproficiencywith Jira Cloud, Jira Advanced Roadmaps, Confluence,andAsana
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 recordofidentifyingdelivery 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 engineeringworkflow toolingto 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
Comfortoperatingin 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
kcura