Netomi - Senior Program Manager
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• 8+ years of experience in technical program management, program management, engineering operations, or a related role in a technology company • Proven experience leading large, cross-functional technical programs involving Engineering, Product, and Data Science / ML teams • Strong understanding of software development lifecycle, release planning, technical dependencies, and execution risk management • Experience driving prioritization, roadmap coordination, resource planning, and delivery tracking across multiple teams • Ability to work effectively across technical and business teams and influence decisions without direct authority • Strong analytical and structured problem-solving skills • Excellent written and verbal communication skills, including experience communicating with executive stakeholders • Ability to thrive in ambiguous, fast-changing, highly collaborative environments • Experience in enterprise SaaS, AI/ML, platform, or data-heavy product companies • Familiarity with LLMs, agentic systems, automation platforms, or applied AI products • Experience supporting CTO-level or senior technical stakeholders • Background working in high-growth startup or scale-up environments
Responsibilities
• Partner with the CTO, Engineering, Data Science, Product, and cross-functional teams to drive execution across strategic technical initiatives • Lead complex, cross-functional programs spanning product engineering, platform, infrastructure, AI/ML, data science, and customer-facing technical workstreams • Drive technical prioritization by helping teams align on business impact, engineering effort, dependencies, risk, and capacity • Support resource planning and capacity management across teams to ensure focus remains on the highest-impact initiatives • Build and manage integrated program plans across multiple technical teams, including timelines, milestones, dependencies, risks, and owners • Identify and proactively manage cross-team blockers, execution gaps, and delivery risks • Establish and improve operating cadences for planning, prioritization, roadmap reviews, dependency tracking, and status reporting • Create clear visibility for stakeholders into roadmap progress, resource constraints, technical tradeoffs, and delivery confidence • Partner with Engineering and Data Science to improve execution quality, predictability, and cross-functional collaboration • Prepare concise, executive-ready updates and recommendations to support decision-making at the leadership level
No credit card. Takes 10 seconds.