Engineering Project Manager coordinating utility scale SCADA systems for solar and battery storage projects. Collaborating with multiple teams and managing project deliverables in a hybrid work environment.
About the role
- Senior Technical Project Manager at Relativity leading complex technical initiatives across engineering domains. Drive execution and alignment while integrating AI into project management.
Responsibilities
- 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
Job title
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