Sr. Product Manager

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.  
  
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. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.  
  
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.   

Job Description:
 

Function / Department: Product

Hire Type: Full-time

Hiring Manager: Joe Pulickal

Office Location: Palo Alto, CA or New York, NY

Job Title: Sr Product Manager

About Uniphore: Uniphore is a rapidly growing enterprise GenAI company that embodies the spirit of innovation and scalability. We drive transformative outcomes across diverse industries and empower large global deployments. We are crafting a modern GenAI stack that integrates essential components: data management, knowledge, agent model training, and applications that empower GenAI actions while providing invaluable training data. Unlike large tech vendors constrained by legacy systems or startups without enterprise customers, we are uniquely positioned to seize the GenAI opportunity and ignite progress. As AI transforms our world, every facet of the enterprise, impacting customers, will experience a profound shift. We envision a future where the synergy between people, machines, and data creates remarkable, human-centric experiences for customers and employees alike.

What We Are Looking For:

Uniphore is seeking a Senior Product Manager to help drive our Data Platform Initiatives, which power our industry-leading Customer Data Platform (CDP). In this role, you will work closely with engineering, architecture, marketing, sales, and customer success teams to define product roadmaps, enhance AI-driven capabilities, and build scalable data solutions that differentiate Uniphore in the market.

This is a hands-on product management role ideal for a strategic thinker with a passion for data platforms, AI, and customer engagement technologies. If you are based in Palo Alto, CA, or New York, NY and excited about building cutting-edge AI-powered data solutions, we want to hear from you!

Responsibilities

• Define and prioritize product roadmaps for Uniphore’s data platform, ensuring alignment with market needs and company objectives.
• Work closely with engineering and architecture teams to define platform infrastructure KPIs, including cost, performance, and reliability SLAs.
• Conduct market research, competitive analysis, and customer interviews to identify emerging trends and enhance Uniphore’s data platform offerings.
• Collaborate with AI and data science teams to integrate AI-powered capabilities such as identity resolution, audience segmentation, and customer journey orchestration.
• Drive go-to-market strategy in collaboration with marketing, sales, and customer success to ensure successful product launches and adoption.
• Communicate product vision and updates to internal and external stakeholders, ensuring alignment across teams.
• Analyze data and customer feedback to continuously improve platform capabilities and user experience.
• Work with cross-functional teams to identify process improvements, ensuring faster execution and product-market fit.

Qualifications

• 5+ years of product management experience, with at least 3 years focused on data platforms, customer data platforms (CDP), or enterprise data infrastructure products.
• Strong understanding of data pipelines, ETL, data orchestration, and identity resolution technologies.
• Experience working with big data technologies such as Snowflake, Databricks, Hadoop, Spark, and AI-driven analytics.
• Knowledge of cloud platforms (AWS, GCP, Azure) and best practices in data infrastructure, performance optimization, and scalability.
• Familiarity with AI/ML-driven technologies applied to customer segmentation, predictive analytics, and automated personalization.
• Ability to define and execute product roadmaps,