Uniphore

Uniphore

Vice President – Product Strategy

USA - CA - Palo Alto · Exec

Sponsorship not specified$242k-$333kDetected 30 days ago
Machine LearningLLMsA/B TestingProduct ManagementProduct StrategySalesM&ACustomer SuccessLeadershipCommunicationCollaborationPublic Speaking

About the role

  • We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
  • This executive role will be instrumental in defining and executing our product vision, strategy, and go-to-market excellence while driving operational excellence across the product organization.
  • Hiring Range: $242,400 - $333,300 - for Primary Location of USA - CA - Palo Alto The specific rate will depend on the successful candidate's qualifications and prior experience.

Responsibilities

  • Drive portfolio optimization and investment decisions to maximize market impact and business growth
  • Partner with executive leadership and corporate development to align product strategy, acquisitions, and partnerships that align with company objectives and market opportunities
  • Lead strategic planning processes including acquisition strategy, chessboard across product as well as market opportunities, roadmap development, resource allocation, and prioritization frameworks
  • Drive integration strategy across applications to deliver cohesive customer experiences
  • Implement metrics and analytics systems to measure product performance and customer success
  • Drive operational excellence in product development lifecycle and cross-functional collaboration
  • Build and optimize tools and systems for product planning, tracking, and reporting
  • Partner with Product Marketing to develop compelling positioning, messaging, and launch strategies
  • Design and deliver sales enablement programs including training, tools, and competitive intelligence
  • Create customer-facing materials and resources to drive product adoption

Requirements

  • 12+ years of product management or product strategy experience in B2B technology companies
  • 5+ years in senior leadership roles with demonstrated success in product strategy
  • Deep expertise in AI/ML products, platform technologies, and enterprise applications
  • Data-driven approach with expertise in product analytics and performance measurement
  • Outstanding communication skills with ability to articulate complex strategies simply and compellingly
  • Experience presenting to board of directors and executive stakeholders

Nice to have

  • Depth in AI in the are a of Interference, LLM, and depth in Data
  • Knowledge of specific industry verticals relevant to our business
  • International partnership experience and global market understanding
  • Track record of successful M&A integration or joint venture management
  • Experience with emerging partnership models (marketplace, embedded partnerships, etc.)
  • MBA or advanced degree in related field
  • Experience at high-growth technology companies or leading technology firms
  • Background in management consulting or corporate strategy

Compensation

  • Competitive compensation, benefits, and global growth opportunities.

Benefits

  • Develop strategic vision for AI-powered products and capabilities, identifying opportunities for differentiation and innovation

Company info

  • Uniphore infuses AI into every part of the enterprise that impacts the customer.
  • We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you.

Equal opportunity

  • USA - CA - Palo Alto
  • Uniphore is an equal opportunity employer committed to diversity in the workplace.
  • We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
  • For more information on how Uniphore uses AI to unify-and humanize-every enterprise experience, please visit www.uniphore.com.

This listing is sourced directly from Uniphore's careers page and normalized into a canonical job model.