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Senior Technical Product Manager

Posted 4 days agoViewed

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💎 Seniority level: Senior, 3+ years Technical Product Experience following 3-5 years of Software Development

📍 Location: United States, PST

💸 Salary: 170000.0 - 210000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Ylopo👥 11-50💰 almost 5 years agoMachine LearningMarketing Automation

⏳ Experience: 3+ years Technical Product Experience following 3-5 years of Software Development

🪄 Skills: LeadershipProject ManagementSoftware DevelopmentArtificial IntelligenceData AnalysisMachine LearningProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsCommunication SkillsRESTful APIsData modelingData analytics

Requirements:
  • 3+ years of Technical Product Experience following 3-5 years of Software Development.
  • At least 1 year with startup experience
  • Strong communication and leadership skills to steer stakeholders’ buy in and alignment
  • Strong project management and organizational skills to drive projects forward and facilitate collaboration across all teams
  • Strong problem-solving skills and attention to detail
  • A self-starter mindset, you aren’t afraid to roll up your sleeves and figure things out
  • Strong technical acumen, from being able to understand complex systems and logic to being able to follow engineering discussions around database schemas and APIs to ensure short and long term product use cases are met
  • Nice to Have: AI experience (chatbot, voice AI)
  • Nice to Have: Familiar with call center & telephony systems
Responsibilities:
  • Define, build, launch, and iterate on complex features and systems that move the product towards its vision.
  • Work with data scientists, machine learning engineers, and business stakeholders to define clear and actionable AI product requirements. Translate high-level AI concepts into user stories and technical specifications.
  • Orchestrate collaboration among all departments to support the product including but not limited to: creating sales deck with Sales team, drafting customer rollout strategy with Account Management team, defining operational workflows with Onboarding team, training Product Support team, coordinating product transitions or changes across all teams
  • Work autonomously and be able to take ownership of product decisions.
  • Use data analytics, user feedback, and AI model performance metrics to iterate on product features. Continuously measure and optimize the impact of AI-powered products.
  • Identify and mitigate potential risks related to AI development, including model bias, data quality, and ethical considerations.
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