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Executive Ai Voice Jobs (NOW HIRING)

Sell Bland's Voice AI platform as both transforming customer experiences and driving operational ... Strategic Communicator - you simplify complex ideas and lead executive conversations with ...

We're building the future of voice AI, and we're looking for someone who can sell that vision and help bring it to life About the Role As an Account Executive / Go-to-Market, you're equal parts ...

Founding Sales Engineer

San Francisco, CA · On-site

$170K - $260K/yr

You'll become a trusted technical advisor to engineering teams, architects, and executives while helping shape how enterprises deploy AI-powered voice agents. This role sits at the intersection of ...

We're building the future of voice AI, and we're looking for someone who can sell that vision and help bring it to life About the Role As an Account Executive / Go-to-Market, you're equal parts ...

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Executive Ai Voice information

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$26.5K

$93.6K

$184K

How much do executive ai voice jobs pay per year?

As of Sep 3, 2026, the average yearly pay for executive ai voice 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 AI Voice?

Executive AI Voice roles involve overseeing the implementation and management of artificial intelligence voice technologies within an organization. These professionals are responsible for developing strategies, guiding teams, and ensuring that AI voice solutions align with business objectives and enhance customer interactions. They may coordinate with technical teams, evaluate AI voice platforms, and ensure compliance with privacy and security standards. Executive AI Voice roles require a mix of technical expertise, leadership skills, and a strong understanding of current trends in AI and voice technology.

What are the key skills and qualifications needed to thrive as an Executive AI Voice?

To thrive as an Executive AI Voice, you typically need expertise in speech synthesis, natural language processing (NLP), and a background in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and specialized voice synthesis platforms, as well as certifications in AI or machine learning, is often required. Excellent problem-solving, creative thinking, and clear communication skills help you craft natural, engaging voice interactions. These competencies ensure the development of high-quality, realistic AI voices that enhance user experiences and meet business objectives.

What are some common challenges faced by professionals in the Executive AI Voice role, and how can they be addressed?

Professionals in the Executive AI Voice role often encounter challenges related to rapidly evolving technology and the need to integrate AI voice solutions seamlessly with existing business systems. Staying updated on advancements in natural language processing and ensuring data privacy can be demanding. Collaboration with cross-functional teams, including IT, marketing, and customer service, is essential for successful AI voice implementation. To address these challenges, it's important to engage in continuous learning, participate in industry forums, and foster strong communication channels within the organization.

What is the difference between Executive Ai Voice vs Customer Service Representative?

AspectExecutive Ai VoiceCustomer Service Representative
Required CredentialsTechnical knowledge of AI systems, communication skillsHigh school diploma or equivalent, communication skills
Work EnvironmentCall centers, AI support teams, tech companiesCall centers, retail, service industries
Industry UsageTechnology, AI, customer supportRetail, telecom, banking
Search & Comparison IntentUnderstanding AI voice roles, technical skillsCustomer support roles, communication skills

Executive Ai Voice roles focus on managing AI voice systems and require technical expertise, while Customer Service Representatives handle direct customer interactions with less technical background. Both roles are vital in customer support but differ in skills and work environment.

More about Executive Ai Voice jobs

What cities are hiring for Executive Ai Voice jobs?

Cities with the most Executive Ai Voice job openings:

What are the most commonly searched types of Ai Voice jobs?

The most popular types of Ai Voice jobs are:

What states have the most Executive Ai Voice jobs?

States with the most job openings for Executive Ai Voice jobs include:

Infographic showing various Executive Ai Voice job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Enterprise Account Executive

Bland

San Francisco, CA • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision

Re-posted 12 days ago


Job description

About the Role
Bland is hiring a world-class Enterprise AE to break into high-value accounts and close complex, multi-threaded deals. This role is all about precision - deeply qualifying with MEDDPICC, leading with business value, and driving urgency in organizations with multiple stakeholders and longer sales cycles.
If you thrive in technical, value-led enterprise sales - and know how to push a deal from interest to action - we want to talk.
What You'll Do
  • Own complex enterprise deals from start to finish - including outbound, discovery, ROI framing, technical validation, and commercial negotiation.
  • Qualify your deals using MEDDPICC - map stakeholders and influence, uncover pain, drive urgency, and de-risk your forecast.
  • Lead with business value messaging - connect Bland's differentiators to executive-level value drivers with clarity and confidence.
  • Multi-thread across technical and economic buyers, with strong positioning across product, engineering operations, and AI transformation teams.
  • Sell Bland's Voice AI platform as both transforming customer experiences and driving operational efficiencies.
  • Partner with Bland's AI Engineers to prove technical fit and design compelling conversational pathways.
What You Know
  • MEDDPICC inside and out - this is how you qualify, forecast, and win.
  • Command of the Message or a similar value-based selling framework - you lead with pain, quantifiable impact, and differentiated proof points.
  • Enterprise SaaS Sales - You've sold $50K-$250K+ ACV deals with multi-month cycles and multiple stakeholders.
  • Voice AI / LLMs / APIs: You're comfortable selling technical products to technical buyers and know when to go into technical depth.
  • Customer Business Cases: You know how to craft and deliver a compelling business case, TCO analysis, or ROI narrative to a CFO or COO.
What You've Done
  • 4-8 years of full-cycle SaaS closing experience.
  • Consistent track record of overachievement in enterprise or upper mid-market segments.
  • Closed new business deals in the $100k to $1M+ ACV range, ideally with technical depth and integrations.
  • Sold to multiple personas across product, engineering, operations, IT, and finance.
  • Bonus - Experience in AI, voice tech, contact center, or dev tools with long-term platform potential.
How You Show Up
  • Sales Athlete - you run your deals with rigor, precision, and hunger.
  • Strategic Communicator - you simplify complex ideas and lead executive conversations with confidence.
  • Ownership Mindset - you own your number and never wait for someone else to unblock you.
  • Process-Driven - you use MEDDPICC and value selling frameworks like Command of the Message, Challenger, SPIN because they help you win, not because they're required.
  • Coachability & Curiosity - you're hungry to improve and humble enough to learn.

Benefits and Pay:
  • Healthcare, dental, vision, all the good stuff.
  • Base pay of $120,000-$180,000
  • OTE $300,000 to $350,000
  • Every tool you need to succeed
  • Equity
  • Uncapped commission

If you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers
Working at a start-up is really hard. We work a lot and we figure things out on the fly.