Director of AI Customer Success - Customer Data Platform

· Remote

Location

Remote

Type

Full Time

Job Description

Director of AI Customer Success - Customer Data Platform

Reposted 3 Hours Ago
Be an Early Applicant
Palo Alto CA USA
In-Office
187K-257K Annually
Senior level
Artificial Intelligence • Machine Learning
Uniphore is the Business AI Company for the agentic enterprise.
The Role
The Director of AI Customer Success oversees enterprise client relationships ensuring success metrics and driving AI adoption retention and value realization through strategic consulting and collaboration with internal teams.
Summary Generated by Built In

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:
 

As a member of Uniphore’s Customer Success team the Director of AI Customer Success will serve as strategic advisor to enterprise clients. This role blends executive-level client engagement AI expertise and a deep consulting background to ensure successful delivery adoption and long-term value realization of AI solutions. success capabilities. This role bridges the gap between technical capabilities and business needs ensuring customers achieve their goals and maximize their return on investment.   This role will focus primarily on our Customer Data Platforms (CDP) verticals of Martech and Adtech solutions.

Key Responsibilities:

The Director of AI Customer Success will be the primary point of contact for Uniphore’s Enterprise Customers. In this role you will lead customer strategy by focusing on and following key facets of Customer Success Journey:  

  • Drive customer success outcomes by developing key Customer Success metrics such as Value Realization key performance metrics gross renewals rate net retention adoption customer health churn rate and customer health score.  Work with Product and platform teams to improve SaaS telemetry and gain real time understanding of the pulse of the customer. 
  • Drive adoption satisfaction and long-term value through combining technical expertise and customer-facing skills.
  • Own executive-level relationships with key enterprise clients serving as a trusted advisor for AI strategy implementation and value realization.
  • Lead complex customer engagements focused on deploying AI and data-driven solutions across business functions.
  • Develop tailored success plans and roadmaps that align AI capabilities with customer business objectives.
  • Partner with Sales Product Engineering and Delivery teams to ensure seamless implementation and continuous improvement.
  • Drive customer adoption expansion and retention through strategic planning outcomes tracking and executive business reviews.
  • Establish best practices for enterprise customer success from onboarding to renewal with a focus on scalable AI impact.
  • Serve as a thought leader internally and externally on AI use cases responsible AI practices and digital transformation strategies.
  • Provide feedback to product teams to influence the roadmap based on client needs and industry trends.
  • Championing the broader Uniphore Business AI Cloud Platform within your portfolio driving adoption of the deep data and AI capabilities that enable business transformation.
  • This role will report to U.S. VP of Customer Success.

Required Qualifications:

  • 8-10+ years of experience in consulting customer success or professional services with a focus on enterprise technology solutions in the Customer Data Platforms (CDP) industry specifically focused on Martech and Adtech solutions.
  • 3-5+ years of experience working directly with AI products platforms or services in an advisory or delivery capacity.
  •  5+ years’ experience engaging end users through C-Suite Executives in both casual and formal professional settings.
  • Consistent record of accomplishment in delivering ROI exceeding retention customer satisfaction and advocacy targets.
  • Proven record of accomplishment of managing complex client relationships leading multi-stakeholder engagements and delivering measurable outcomes.
  • Experience in enterprise verticals such as healthcare financial services manufacturing or retail where AI has significant business impact.
  • Proven Track record of CDP AI Consultancy and driving growth and adoption of SAAS solutions.
  • Deep understanding of CDP AI solution architectures business applications of AI and change management related to customer adoption.
  • Strong strategic thinking executive communication and client-facing presence.
  • Experience working with cloud platforms (AWS Azure GCP) and AI services (e.g. OpenAI TensorFlow Hugging Face etc.).
  • Familiarity with enterprise software delivery lifecycles success metrics and ROI frameworks.
  • Exceptional organizational presentation and communication skills both verbal and written 
  • Client-Centric & Empathetic: You genuinely care about your clients. You listen actively to their needs and put yourself in their shoes to anticipate issues and opportunities
  • Bachelor's or master's degree in business Computer Science Engineering Data Science or related field; MBA or advanced degree preferred.
  • Ability to travel at least 25% of the time.  
  • This role will report to the U. S. Vice President of Customer Success.

Preferred Qualifications:

  • You are fluent in the Martech and AdTech ecosystems. You have spent years navigating the complexity of marketing stacks and advertising tech—connecting systems streamlining data flows and unlocking real customer insights. Whether it is DMPs CDPs DSPs or automation platforms you know how it all fits together to drive performance.
  • You have led from the front with CDPs. With 6–10 years of hands-on experience in Customer Data Platforms for both B2B and B2C brands you understand the strategic role they play in activating unified customer journeys across channels. You do not just support CDP adoption; you drive it scale it and optimize it.
  • You turn technology into outcomes. Your value lies in translating complex tools into clear actionable strategies. You have advised enterprise clients on how to use data-driven marketing to directly impact KPIs like acquisition cost engagement retention and revenue lift.
  • You have been the go-to for growth. You have partnered with marketers media teams and product leaders to implement scalable SaaS solutions that generate results. Your expertise ensures technology does not sit idle—it powers campaigns unlocks insights and fuels the business.


 


Hiring Range:

$186900 - $257000 - for Primary Location of USA - CA - Palo Alto

The specific rate will depend on the successful candidate's qualifications and prior experience.

In addition to competitive base pay this position also includes an annual incentive opportunity based on target achievement  pre-IPO stock options benefits including medical dental vision 401(k) with a match and more plus generous paid time off paid holidays paid day off for your birthday and other paid leave policies to support employees through all phases of life.


Location preference:

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.

Top Skills

Adtech
AI
AWS
Azure
Customer Data Platforms (Cdp)
GCP
Hugging Face
Martech
Openai
TensorFlow
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The Company
Bengaluru Karnataka
465 Employees
Year Founded: 2008

What We Do

The Uniphore Business AI Cloud spans agents models knowledge and data combining the simplicity of consumer AI with the rigor security and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data.Built for the Enterprise backed by AI LeadersBacked by NVIDIA AMD Snowflake and Databricks Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ Infoworks Orby AI and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients.A Complete Composable PlatformUniphore is designed to be:Sovereign — run on any public cloud private cloud or on-premises with full control over your data and AI models.Composable — choose your layer model or component—vector DBs knowledge graphs data compute and beyond.Secure — embedded guardrails observability and AI security ensure trusted compliant and enterprise-grade protection.Trusted at ScaleOver 2000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth improve efficiency and deliver personalized customer experiences. Customers include leaders across industries like Skechers LastPass Atlassian HP Allstate Sony and more.Industry RecognitionNamed to Inc.'s Best in Business ListListed on the Deloitte Technology Fast 500Recognized in reports by Gartner Forrester and IDCFrom Pilot to ProductionThrough strategic collaborations with industry leaders like KPMG Cognizant Rackspace Databricks and Snowflake Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.

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Date Posted

04/08/2026

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