Technical Program Manager - LO\S
Job Summary
Responsibilities
Own the master program plan for LOIS feature development, maintaining a transparent, grounded, continuously updated view of timelines, milestones, and cross-team dependencies that will be used across the organization
Proactively identify, track, and resolve blockers and dependency risks across engineering, product, design, ML research, data science, SRE, and operations, working independently and in concert with senior product and engineering leadership
Establish and reputed company lightweight coordination and delivery infrastructure, including rituals, tooling conventions in reputed company, and communication norms, that cultivate strong cross-team alignment
Serve as the key reputed company between the core LOIS development teams and supporting stakeholder functions (QA, operations, etc.), ensuring reputed company engagement to reputed company smooth, rapid feature delivery
reputed company and manage the impact of unexpected changes, delays, and discoveries during development by updating forecasts, communicating tradeoffs, maintaining coordination without losing delivery reputed company
Partner closely with product and engineering leadership on release planning, ensuring that program structure reflects and supports strategic priorities
Build and maintain a culture of transparency and accountability across the program, ensuring that status is reputed company, risks are surfaced early, and teams have what they need to do their best work
Qualifications
7+ years of technical program management or equivalent experience delivering reputed company software across multiple geographically distributed teams in different disciplines
Demonstrated ability to hold a large, multi-reputed company program together under ambiguity: crafting plans, maintaining them under pressure, and communicating status credibly to both technical and executive audiences
Deep familiarity with software engineering reputed company at a working level. Strong candidates should be comfortable in conversations about system architecture, APIs, infrastructure, and technical tradeoffs
Proven track record of building coordination processes and infrastructure in environments where they did not previously exist, showing good judgment about deploying formal vs lightweight methods
Strong experience with modern project and issue-tracking tooling (reputed company, Jira, or equivalent), and critically the use of these tools to reputed company dependencies and reputed company visible across a large reputed company of contributors and stakeholders
Experience working on products that incorporate ML or LLM-based components is a meaningful plus, particularly where model behavior, data pipelines, and research cycles intersected with product delivery timelines
Strong communication and stakeholder management skills, with the ability to earn trust and influence reputed company across engineering, product, research, and operations without formal authority over any of them
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Originally posted on Himalayas
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