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Executive Conversational Ai Jobs (NOW HIRING)

The Sr. Conversational AI Consultant serves as a strategic advisor and lead consultant for ... This role partners closely with customer stakeholders, executive leaders, and internal cross ...

The Sr. Conversational AI Consultant serves as a strategic advisor and lead consultant for ... This role partners closely with customer stakeholders, executive leaders, and internal cross ...

- Conversational AI QA Lead - chatbots Locations: Irving/Dallas, Texas FULL TIME Day to Day job ... Provide regular updates to executive leadership on quality metrics, testing progress, and risk ...

Sr AI Architect - Conversational AI

$132K - $180K/yr

See yourself at Twilio Join the team as Twilio's next Sr AI Architect - Conversation AI. About the ... Transition seamlessly from high-level strategic communication with executives to deep-dive code ...

See yourself at Twilio Join the team as Twilio's next Sr AI Architect - Conversation AI. About the ... Transition seamlessly from high-level strategic communication with executives to deep-dive code ...

$300 - $900/hr

Own a named-account territory selling Agentic AI, Conversational AI and CX modernization to Fortune ... Strong command of value selling, MEDDPICC and executive-level communication. #J-18808-Ljbffr

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How much do executive conversational ai jobs pay per year?

As of Aug 23, 2026, the average yearly pay for executive conversational ai in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is an executive conversational AI?

An Executive Conversational AI is an advanced artificial intelligence system designed to interact with users using natural language, often fulfilling executive or leadership-level tasks such as decision-making support, scheduling, strategic analysis, and communication management. These AIs can automate or assist with high-level business processes, acting as virtual executive assistants or advisors. They leverage natural language processing, machine learning, and sometimes integration with enterprise systems to provide tailored insights and facilitate complex workflows. Organizations implement Executive Conversational AIs to increase efficiency, reduce administrative burdens, and enhance decision-making.

How does an executive conversational AI collaborate with cross-functional teams to drive successful AI product deployments?

An Executive in Conversational AI frequently works alongside product managers, data scientists, engineers, UX designers, and business stakeholders to ensure that AI solutions align with company goals and user needs. They play a key role in setting the strategic direction, facilitating communication between technical and non-technical teams, and overcoming challenges related to data quality, model deployment, and user adoption. Regular cross-functional meetings and agile project management practices are common, allowing the executive to monitor progress, address roadblocks, and ensure that projects are delivered on time and within scope.

What are the key skills and qualifications needed to thrive as an executive conversational AI specialist?

To excel as an Executive Conversational AI specialist, you need a deep understanding of natural language processing (NLP), AI technologies, and business strategy, often supported by a degree in computer science or a related field. Familiarity with platforms like Dialogflow, Microsoft Bot Framework, and AI development tools, as well as relevant certifications, is crucial. Strong leadership, communication, and project management skills help bridge technical teams with business stakeholders and drive AI initiatives forward. These competencies ensure the development and deployment of effective conversational AI solutions that align with organizational goals and deliver measurable results.

What is the difference between Executive Conversational Ai vs Customer Service Manager?

AspectExecutive Conversational AiCustomer Service Manager
Required CredentialsTechnical certifications, AI/ML knowledge, relevant degreesBusiness, management, or customer service experience, often a bachelor's degree
Work EnvironmentTech-focused, development teams, AI labsCustomer service centers, management offices
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsRetail, telecom, finance, and service industries
Search & Comparison IntentUnderstanding AI roles, technical skills, implementationCustomer service strategies, team management, operations

Executive Conversational Ai focuses on developing and managing AI-driven chatbots and voice assistants, requiring technical expertise. Customer Service Managers oversee customer support teams and strategies, emphasizing management skills. While both roles aim to improve customer interactions, they differ significantly in skills, environment, and industry application.

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Infographic showing various Executive Conversational Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Sr. Conversational AI Consultant

Verint

Remote

Full-time

Re-posted 4 days ago


Job description

Overview of Job Function:

The Sr. Conversational AI Consultant serves as a strategic advisor and lead consultant for customers leveraging AI-powered customer experience and operational solutions. This role partners closely with customer stakeholders, executive leaders, and internal cross-functional teams to drive successful solution adoption, optimize business processes, and deliver measurable business outcomes through strategic consulting, analytics, and technical expertise.

Serving as the consulting lead on customer engagements, the Sr. Conversational AI Consultant is responsible for guiding solution strategy, business transformation initiatives, and value realization efforts while partnering with Program Managers to ensure successful execution. Through trusted advisor relationships and industry expertise, this role helps organizations improve operational performance, enhance customer experiences, and maximize the value of their AI investments.

Principal Duties and Essential Responsibilities:

Customer Consulting & Solution Optimization

  • Serve as the lead consultant and primary strategic advisor for customers utilizing AI-powered solutions, providing guidance throughout the customer lifecycle. 
  • Lead the consulting workstream for customer engagements, driving solution adoption, optimization, and business transformation initiatives. 
  • Partner with customer stakeholders to understand business objectives, operational challenges, and success criteria, recommending solutions that deliver measurable business outcomes. 
  • Establish trusted advisor relationships with business leaders, operational stakeholders, and executive sponsors. 
  • Facilitate discovery sessions, workshops, business reviews, and stakeholder discussions to align priorities, define success measures, and drive customer success. 
  • Develop strategic success plans in collaboration with Program Managers, focusing on measurable business outcomes, adoption goals, and value realization. 
  • Identify opportunities to increase solution utilization, improve operational effectiveness, and expand customer value.

AI Subject Matter Expertise

  • Serve as a senior subject matter expert on conversational and generative AI technologies, providing strategic guidance, industry best practices, and solution recommendations. 
  • Lead the implementation, configuration, testing, validation, and optimization of AI-powered capabilities, including Prompt-Driven AI, Classifier-Driven AI, AI Tags, Auto QM, Advanced Sentiment Models, Trending Topics, and related technologies. 
  • Assess customer processes, workflows, and operational practices to identify opportunities for automation, efficiency gains, quality improvement, and enhanced customer outcomes. 
  • Advise customers on AI adoption strategies, governance considerations, operational readiness, and emerging technology capabilities. 
  • Provide guidance on workforce optimization practices and customer experience improvement strategies when applicable.

Analytics & Business Insights

  • Analyze operational, customer experience, and solution performance data to identify trends, risks, opportunities, and strategic recommendations. 
  • Develop and deliver executive-level reports, dashboards, presentations, business reviews, and value realization assessments that communicate business impact. 
  • Define, establish, and monitor key performance indicators (KPIs), benchmarks, and success measures aligned with customer objectives. 
  • Translate complex data into actionable insights that support decision-making and drive continuous improvement.

Problem Resolution & Cross-Functional Collaboration

  • Lead the investigation and resolution of complex business and technical issues through root cause analysis, risk assessment, and strategic problem-solving.
  • Serve as an escalation point for complex customer issues, ensuring timely resolution and maintaining customer confidence.
  • Partner with Program Managers to align consulting activities with overall program objectives and customer success goals.
  • Collaborate with Product Management, Engineering, Support, Customer Success, and Professional Services teams to address customer challenges and identify opportunities for product and process improvement.
  • Provide consulting leadership and subject matter expertise across customer engagements and internal initiatives.

Customer Success & Continuous Improvement

  • Drive customer success through recommendations that increase adoption, utilization, and business value. 
  • Leverage customer feedback, performance data, and industry trends to optimize outcomes. 
  • Influence customer strategies through data-driven insights and best practices. 
  • Document recommendations, engagement outcomes, and lessons learned to support knowledge sharing. 
  • Manage multiple customer engagements while maintaining high customer satisfaction. 
  • Contribute to consulting best practices, methodologies, and reusable assets.

Minimum Requirements:

  • Bachelor's degree in Business, Computer Science, Information Systems, Engineering, or a related field, or an equivalent experience.
  • Minimum of 7 years of experience in customer-facing consulting, solution consulting, professional services, technical consulting, application consulting, or related advisory roles.
  • Demonstrated experience leading complex customer engagements and delivering successful business outcomes.
  • Strong understanding of AI-powered technologies, including prompt-based AI, classifier-based AI, conversational AI, and related automation technologies.
  • Proven ability to act as a trusted advisor and influence stakeholders across multiple levels of an organization.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Experience developing executive presentations, business reviews, reports, dashboards, and actionable business insights.
  • Excellent verbal and written communication skills.
  • Strong presentation, workshop facilitation, and stakeholder management skills.
  • Ability to collaborate effectively across cross-functional teams and influence without direct authority.
  • Demonstrated ability to independently manage multiple priorities and customer engagements.
  • Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations.

Preferred Requirements:

  • Experience supporting contact center operations or customer experience environments.
  • Experience with Workforce Management (WFM) solutions, preferably Calabrio or Verint Solution. 

#LI-KD1

Verint Systems Inc. is an equal opportunity employer and is committed to maintaining a workplace free from discrimination, retaliation, and sexual and any other form of harassment. Verint has a zero-tolerance policy against any form of discrimination, retaliation, or harassment including sexual harassment or any other form of harassment based on race, color, religion, sex, age, national origin, genetic information, disability, veteran status, and any other classification or characteristic protected by applicable federal, state or local laws. Verint operates in accordance with all anti-discrimination laws and affords equal opportunities to employees and applicants without regard to any characteristic or protected class in our hiring, promotion and termination practices.


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About Verint Systems

Sourced by ZipRecruiter

Verint Systems is a renowned tech firm in the action-centric intelligence segment based in Melville, NY. It leverages customer engagement and cyber intelligence to extract actionable insights from vast quantities of data. The company, founded in 2002, has since secured its spot in the IT and tech industry by delivering innovative and effective solutions tailored for its clients' needs. Known for their customer engagement service, voice of the customer (VoC) software, risk and compliance solutions, and fraud prevention services, they serve many business sectors. Verint's mission is to create a safer world by providing actionable intelligence that empowers organizations to prevent security threats and improve customer engagement.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Melville, NY, US

Year founded

1994