1

Ccaas Sales Engineer Jobs (NOW HIRING)

Showing results 41-60

Ccaas Sales Engineer information

See salary details

$43.5K

$96.2K

$149K

How much do ccaas sales engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ccaas sales engineer in the United States is $96,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $112,500.00 per year, depending on experience, location, and employer.

What is a CCaaS sales engineer?

CCaaS Sales Engineers are technical professionals who specialize in selling and supporting Contact Center as a Service (CCaaS) solutions. They work closely with sales teams and potential clients to understand business requirements, demonstrate the capabilities of CCaaS platforms, and design tailored solutions. Their role often includes technical presentations, product demonstrations, responding to RFPs, and ensuring that the proposed solutions meet the client's needs. CCaaS Sales Engineers bridge the gap between technical and business aspects, helping organizations adopt cloud-based contact center technologies efficiently.

How does a CCaaS sales engineer typically collaborate with sales and technical teams during the sales cycle?

A CCaaS Sales Engineer plays a vital role in bridging the gap between sales and technical teams by translating customer requirements into viable technical solutions. They often participate in discovery calls with account executives, provide product demonstrations, and design tailored solutions alongside solutions architects. Throughout the sales cycle, they work closely with product managers and implementation teams to ensure customer needs are accurately addressed and feasible. Effective communication and teamwork are essential, as the Sales Engineer must balance technical accuracy with clear, customer-friendly explanations.

What are the key skills and qualifications needed to thrive as a CCaaS sales engineer, and why are they important?

To thrive as a CCaaS Sales Engineer, you need a strong background in cloud communications, contact center technologies, and solutions-based sales, often supported by a degree in computer science or a related field. Familiarity with CCaaS platforms (such as Genesys, NICE, or Five9), APIs, CRM integrations, and certifications like AWS or relevant vendor credentials are highly valuable. Exceptional communication, problem-solving, and the ability to translate technical concepts for non-technical clients make candidates stand out. These skills are crucial for effectively bridging the gap between customer needs and technical solutions, helping to close deals and drive client satisfaction.

What are popular job titles related to Ccaas Sales Engineer jobs?

For Ccaas Sales Engineer jobs, the most frequently searched job titles are:

CCaaS x AI, Manager, Technical Transformation

Grand Rapids, MI

Deloitte
Finance and Insurance • 10K+ employees

$111K - $111K/yr

Full-time

Re-posted 18 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

CCaaS x AI Manager, Technical Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.

  • Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
  • Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
  • Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
  • Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
  • Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
  • Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,00 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Qualifications:

CCaaS x AI Manager, Technical Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.

  • Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
  • Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
  • Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
  • Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
  • Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
  • Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,00 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom