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Full-Time

Group Product Manager

Remote US

Confirmed live in the last 24 hours

Level AI

Level AI

51-200 employees

Enhances customer experience through intelligent automation

Enterprise Software
AI & Machine Learning

Senior, Expert

Remote in USA

Category
Product Management
Product
Required Skills
Data Analysis
Requirements
  • Bachelor’s degree in computer science, mathematics, systems engineering, MIS, or a related field; preferably an MBA from an esteemed university.
  • At least 7 years of experience in product management, with at least 5 years in SaaS-based technology.
  • Experience in defining, developing and managing new products in a fast-paced environment is a plus.
  • Experience defining customer requirements in big data, data analytics, or related technologies is a plus.
  • Strong detail orientation, organizational skills, and project management skills.
  • Familiarity with Contact Center or Video Content platforms, or both, is a plus.
Responsibilities
  • Identify, analyze, and prioritize new features based on business and customer impact through data analysis, cost-benefit analysis, and customer research.
  • Drive product execution and implementation by coordinating with cross-functional teams to manage product milestones, budget, and timeline, prioritizing roadmap scope based on key deliverables.
  • Execute product planning and development, including defining customer goals and business requirements for product release, ensuring implementation aligns with product goals and requirements, and owning product positioning.
  • Drive product launches to meet release goals, ensuring cross-functional teams are aligned, prepared, and have plans in place to execute and monitor outcomes.
  • Build a go-to-market strategy for new product/feature launches to deliver results that align with customer and business goals in operational launch plans.
  • Gain a thorough understanding of customer experience, identify and fill product gaps, and generate new ideas to grow product adoption, improve customer experience, and drive growth.
  • Oversee the product lifecycle, including ideation, prototyping, customer research, design, launch, iteration, and end-of-life decisions.
  • Collaborate with engineering to continuously improve software delivery best practices, including helping the team make tradeoffs based on customer requirements and QA/testing of the product.
  • Critically assess emerging technologies, analyze technology constraints and requirements, perform risk assessment, and build risk mitigation strategies.

Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.

Company Stage

Series B

Total Funding

$37M

Headquarters

Mountain View, California

Founded

2018

Growth & Insights
Headcount

6 month growth

9%

1 year growth

12%

2 year growth

84%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $20M Series B funding round led by Battery Ventures indicates strong investor confidence and provides ample resources for growth and innovation.
  • New features like agent screen monitoring and recording demonstrate Level AI's responsiveness to customer needs and market demands.
  • The addition of high-profile clients like OpenTable and Toast showcases the platform's effectiveness and growing market penetration.

What critics are saying

  • The competitive landscape in intelligent automation and BPO is intense, requiring Level AI to continuously innovate to maintain its edge.
  • Dependence on venture capital funding could pose financial risks if future funding rounds do not materialize as expected.

What makes Level AI unique

  • Level AI's focus on eliminating data silos and integrating call center data sets it apart from competitors who may not offer such comprehensive data integration.
  • The introduction of AgentGPT highlights Level AI's commitment to leveraging generative AI for enhancing customer service, a step ahead of traditional automation solutions.
  • Their subscription-based model ensures a steady revenue stream, allowing continuous innovation and customer support.