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Vector Customer Service Jobs in Connecticut (NOW HIRING)

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Vector Customer Service information

What is a Vector Customer Service representative?

Vector Customer Service representatives are professionals who work for Vector Marketing, the sales arm of Cutco Cutlery, or related companies. Their primary responsibilities include assisting customers with product inquiries, processing orders, handling returns or exchanges, and ensuring customer satisfaction. They often interact with customers via phone, email, or online chat and may also provide information about promotions or new products. Excellent communication and problem-solving skills are essential for this role. Working as a Vector Customer Service representative can provide valuable experience in sales, customer relations, and product knowledge.

What are the key skills and qualifications needed to thrive as a Vector Customer Service representative?

To thrive as a Vector Customer Service Representative, you need strong communication skills, problem-solving abilities, and a high school diploma or equivalent. Familiarity with customer relationship management (CRM) software and proficiency in phone and email systems are typically required. Patience, active listening, and a positive attitude help representatives effectively address customer concerns and build rapport. These skills are crucial for ensuring customer satisfaction, repeat business, and maintaining the company's reputation.

What are some typical challenges faced by Vector Customer Service representatives, and how can they be effectively managed?

Vector Customer Service representatives often manage a high volume of incoming inquiries, which can range from product information requests to resolving order issues. A common challenge is handling difficult or dissatisfied customers while maintaining professionalism and empathy. To manage these situations effectively, representatives are trained in active listening, clear communication, and problem-solving techniques. Additionally, working closely with team members and supervisors ensures quick escalation of complex cases and fosters a supportive environment for continuous learning and improvement.

What is the difference between Vector Customer Service vs Call Center Representative?

AspectVector Customer ServiceCall Center Representative
Required CredentialsHigh school diploma or equivalent; customer service experienceHigh school diploma or equivalent; customer service skills
Work EnvironmentOffice or remote; direct interaction with customersCall centers; inbound/outbound calls
Industry UsageTelecommunications, retail, service providersTelecommunications, customer support centers
Common Search IntentCustomer service roles at VectorCustomer service roles in call centers

Vector Customer Service and Call Center Representative roles share similar credentials and work environments, often involving direct customer interaction in telecommunications or retail sectors. However, Vector Customer Service typically refers to specific roles within the Vector company, while Call Center Representatives work across various organizations. Both roles focus on resolving customer issues, but the context and employer differ.

What are popular job titles related to Vector Customer Service jobs in Connecticut?

For Vector Customer Service jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Vector Customer Service jobs in Connecticut look for?

The top searched job categories for Vector Customer Service jobs in Connecticut are:

Vector Customer Service jobs near you
Infographic showing various Vector Customer Service job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, 2% Temporary, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Lead Forward Deployed Engineer, ServiceNow

Deloitte

Hartford, CT • On-site

$103K - $136K/yr

Full-time

Posted 25 days ago

Key responsibilities

  • Lead forward-deployed engineering pods to develop and deploy GenAI solutions into production for clients.

  • Serve as the senior technical leader, setting direction, reviewing, debugging systems, and translating engineering trade-offs for client leaders.

  • Manage and coordinate multiple engineering teams, ensuring delivery standards, resource management, and reliable architecture.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Lead ServiceNow FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

  • Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
  • Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
  • Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
  • Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

  • Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
  • Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
  • Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
  • Mentor and develop junior FDEs

GenAI Solution Development

  • Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
  • Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
  • Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
  • Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

  • Review and contribute to production-quality code
  • Guide architecture of data pipelines powering GenAI use cases
  • Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
  • Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)


The team

Our ServiceNow practice develops strategies and implements systems that help organizations build business value and improve performance. Drawing on deep experience solving complex IT and non-IT challenges globally, we guide clients through everything from system replacement to full Enterprise transformation. We partner with COOs, CHROs, CFOs/CPOs, CISOs, CIOs/CTOs, technology executives, and service owners across HR, IT, Customer, Field Service, and Project Portfolio Management to modernize technology delivery and operating models. By focusing on NextGen technologies and evolving service models, we help clients shift from foundational technology delivery to becoming the strategic business partner and catalyst for change that today's operational demands require.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
  • 10+ years of consulting or relevant industry experience
  • 4+ years of experience overseeing multiple project teams
  • ServiceNow ITSM certification
  • Certified Application Developer (CAD)
  • A minimum of 2 full life cycle ServiceNow ITSM implementations
  • A minimum of 2 ServiceNow upgrade deployments
  • Experience across IT Service Management, Incident Management, Problem Management, Change Management, Release Management, and Root Cause Analysis (RCA)
  • Experience with the ITIL framework
  • 3+ years' experience as an engagement manager
  • Project scoping, estimating, and planning experience
  • Sales experience
  • Experience leading ServiceNow GenAI/agentic transformations (Now Assist, AI Agents) with familiarity governing enterprise AI via ServiceNow AI Control Tower; exposure to Moveworks-based conversational AI a plus
  • Proven ability to lead architecture of enterprise-scale ServiceNow solutions and advise CIOs and technology executives on platform strategy, roadmap, and capability adoption. ServiceNow SDK experience with Claude and/or GitHub is a plus
  • Track record deploying Claude Code-augmented delivery at scale, including agentic workstreams, MCP orchestration, subagent parallelization, and hooks-based guardrails across engagements
  • Experience building reusable Claude Code skill libraries and slash commands for ServiceNow development patterns to accelerate delivery across a practice
  • Experience training and upskilling customer engineering teams on agentic coding best practices
  • Demonstrated ability to quantify and communicate delivery acceleration to executive stakeholders (e.g., runbooks and documentation evidencing reduced delivery time)

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations
  • ServiceNow Certified Master Architect (CMA) or Certified Technical Architect (CTA)
  • 4+ years of experience generating new client business
  • Experience developing client relationships, identifying new opportunities, and shaping follow-on engagements for continuous improvement
  • Business development experience selling 3+ year deals, including offering structure and support for those deals
  • An advanced degree

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 $223,700 to $372900.

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.

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Lead ServiceNow FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

  • Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
  • Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
  • Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
  • Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

  • Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
  • Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
  • Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
  • Mentor and develop junior FDEs

GenAI Solution Development

  • Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
  • Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
  • Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
  • Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

  • Review and contribute to production-quality code
  • Guide architecture of data pipelines powering GenAI use cases
  • Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
  • Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)


The team

Our ServiceNow practice develops strategies and implements systems that help organizations build business value and improve performance. Drawing on deep experience solving complex IT and non-IT challenges globally, we guide clients through everything from system replacement to full Enterprise transformation. We partner with COOs, CHROs, CFOs/CPOs, CISOs, CIOs/CTOs, technology executives, and service owners across HR, IT, Customer, Field Service, and Project Portfolio Management to modernize technology delivery and operating models. By focusing on NextGen technologies and evolving service models, we help clients shift from foundational technology delivery to becoming the strategic business partner and catalyst for change that today's operational demands require.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
  • 10+ years of consulting or relevant industry experience
  • 4+ years of experience overseeing multiple project teams
  • ServiceNow ITSM certification
  • Certified Application Developer (CAD)
  • A minimum of 2 full life cycle ServiceNow ITSM implementations
  • A mi...

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