Senior Project Manager, Machine Learning

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Requirements:

• At least 4+ years of project management and/or product management experience, preferably leading cross-functional teams that build data products.
• A background in Mar-tech, Ad-tech, or client-facing SaaS platform is preferred.
• Experience working with Machine Learning Operations (MLOps).
• An understanding of data flows and basic purpose and usefulness of common terms and technologies, such as APIs, SQL, ETL pipelines, etc.
• Experience owning, tracking and delivering projects end-to-end, often driving multiple complex projects at the same time.
• Experience implementing and maintaining Scrum, Kanban and/or other agile development frameworks within cross-functional teams.
• Ability to manage resources across Engineering, Sales, Marketing, and Support to prioritize in accordance with business goals and track/execute deliverables.
• Self-sufficiency, executing with minimal oversight but not afraid to ask questions.
• Technical savviness, comfortable discussing technical topics with both technical and non-technical audiences.
• Excellent communication skills to inform, educate, influence and persuade at various levels of the organization.
• Attention to detail, obsessing over every part of a process at scale.
• Customer obsession to take on complex product challenges and find solutions to avoid making them our users’ problems.
• Strong articulation/presentation skills.
• Strong quantitative, analytical and problem-solving skills.
• Experience with Atlassian Products (Jira, Confluence) is required.
• Certified Scrum Master and/or Certified Scrum Product Owner certification is a plus.

Responsibilities:

• Deliver your products’ initiatives in the desired availability windows.
• Take pre-defined technical and functional requirements from the Technical Lead and Product Designer to strategize, sequence and plan your projects.
• Own, track and manage your teams' project scopes and timelines to ensure forecasted deliverability.
• Document project plans for cross-team initiatives and drive on-schedule delivery of results.
• Identify, track and remove blockers and dependencies.
• Document the product/feature knowledge for consumption by other teams.
• Analyze usage data and trends to come up with compelling solutions for your team that will increase usage of features.
• Partner with the Product Design to constantly improve user engagement for new and existing MNTN products.
• Facilitate agile events, including, but not limited to: stand ups, parking lots, backlog prioritization, backlog refinements, sprint reviews, sprint plannings and/or retrospectives for your team.
• Engage with Technical Leads, Product Designers, Engineers and Testers to ensure tickets are properly detailed, prioritized and estimated.
• Track, analyze and storytell metrics, at the team-level, to help deliver consistent velocity value and forecast project estimation.
• Become a MNTN subject matter expert.