Sr Zendesk Systems Engineer Job at Beacon Hill (Orlando)

Sr. Technical Solutions Engineer

The Technical Solutions Engineer is an IC role responsible for diagnosing and re...

Location

United States , New York, Illinois, Colorado, California, Remote

Salary:

80000.16 - 160233.12 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

3+ years in a technical role including solutions engineering, platform support, QA, or software engineering, ideally within digital advertising, CTV, or adtech
Comfort working with logs, data queries, and debugging tools to investigate technical bugs and issues
Experience adapting internal technical findings into client-appropriate messaging, balancing accuracy with clarity and sensitivity
Strong technical foundation across SQL, Web based technologies (HTML5, Javascript, web-based pixel implementation), and familiarity with APIs
Experience working with technical teams across product, engineering, and QA
Strong written communication and ability to translate complex technical findings into clear, actionable summaries for non-technical stakeholders
Employees at all levels are expected to understand our Operating Principles, own the customer experience, know your stuff, win as a team, be an active part of the Net Promoter System, drive results and growth, support a culture of inclusion, do what's right for each other, our customers, investors and our communities
Education: Bachelor's Degree
Relevant Work Experience: 5-7 Years
Skills: Technical Troubleshooting

Job Responsibility

Own end-to-end triage and investigation of advertiser-reported technical issues, including diagnosing issues across campaign delivery, platform errors, tracking failures, and reporting discrepancies
reproducing issues in staging or production environments
and documenting clear reproduction steps, logs, and root-cause analysis
Escalate confirmed platform bugs to Engineering with well-structured tickets that prioritize impact and with fully reproduced context and supporting logs
Develop into a subject-matter expert (SME) for one or more Universal Ads product domains by partnering closely with Product and Engineering, building deep platform knowledge, and progressively owning technical depth and issue consistency for those areas
Work closely with Sales to diagnose issues surfaced from advertiser conversations and Zendesk Tickets, while providing technically grounded and client-appropriate responses
Partner with Product and Engineering to translate platform failures into actionable improvements across bug fixes, technical issues, or documentation updates
Monitor recurring issue patterns to proactively surface systemic problems before they escalate
Build and maintain internal documentation including troubleshooting runbooks, product playbooks, and known issue logs for CS and Product teams

What we offer

Medical, prescription, vision, and dental insurance for eligible employees
401(k) savings plan with dollar-for-dollar matching up to the first 6% of your pay
Paid time off including eight observed company holidays and flex time
Exclusive perks + discounts, including tuition assistance, commuter benefits and more

Fulltime

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

India , Bengaluru

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

Canada , Kitchener

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Denver

Salary:

119200.00 - 151000.00 USD / Year

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Competitive benefits and perks
Robust training program
Inclusive office environment
Recognized Great Place to Work culture

Fulltime

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Austin

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Tempe

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

New

M&A Integration Associate

This individual will play a key role in integration planning and execution effor...

Location

United States

Salary:

Not provided

AI Fire

Expiration Date

Until further notice

Requirements

2-5 years of project management experience or consulting
BA required in Business, Finance, Accounting or related field
Strong cross-functional collaboration skills
Excellent project management, interpersonal, written, and oral communication skills
Effective and collaborative communication skills, with the ability to customize approach for a variety of audiences
Ability to perform tasks with minimal supervision and manage tasks from start to finish
Proficiency in MS Office tools, particularly Excel and PowerPoint
This position requires 50% travel to support integrations
Successful completion of a drug test and pre-employment background screening is required

Job Responsibility

Develop integration plan and timeline in collaboration with the EVP of M&A and Integration Manager
Support several acquisition integrations implementations simultaneously
Define, track and communicate appropriate initiatives and deliverables to the broader integration team and management stakeholders
Further define and improve AI Fire's best-practice integration playbook
Create and update dashboards for internal and external updates
Communicate project priorities for key stakeholders
Collaborate with functional teams to align resources to integration plans
Prepare appropriate documentation to close out integration projects and facilitate effective hand-offs

What we offer

Competitive compensation
Pay is on a weekly cycle, every Friday
Career Advancement Opportunities
Competitive benefits, including healthcare, dental, vision, life insurance, paid time off and holidays
Company paid short and long-term disability
Immediately vested in our 401(k) company match
Full-time employees participate in our Shared Ownership Program which offers a monetary bonus aligned to the company's long-term success
Exceptional guidance and support from our managers
Collaborative culture & environment
Opportunity to work alongside some of the best talent in the fire protection industry

Fulltime

New

Support Worker

Ty Camlas is committed to supporting people towards leading as fulfilled a life ...

Location

United Kingdom , Ystradgynlais

Salary:

13.45 - 14.05 GBP / Hour

Accomplish

Expiration Date

Until further notice

Requirements

Available for both shifts (8:30am - 9:00pm & 9:00pm - 8:30am)
Over the age of 18

Job Responsibility

Day-to-day support and routine of the people we support
Prompting independence whilst helping them live a fulfilling life
Supporting & encouraging the development of personal skills through hobbies and interests
Maintaining and helping with health care needs, including accompanying the people we support to routine appointments or administrating medication
Teaching life skills such as budgeting, paying bills & shopping
Assisting with personal care as required
Assisting with domestic tasks including cleaning & cooking
Providing guidance & encouragement through physical & emotional support

What we offer

Annual Leave - 5.6 weeks of annual leave inclusive of 8 public holidays
DBS Check Paid - Fully covered by Keys Group
Qualifications & Career Development - offering QCF qualifications
Circle - wellbeing, engagement and discounts
Amazing Discount Scheme - at High Street retailers and more via Blue Light card
NEST Pension Scheme - matched contribution up to 3%
Fair & Competitive Pay - Real Living Wage Employer
£500 Referral Bonus
Full Induction & Introductory Programme

Fulltime

Select Country

Sr Zendesk Systems Engineer

Job Responsibility

Requirements

Nice to have

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