ai/machine learning data engineer

ai/ml engineer (senior associate) - remote Jobs in Chicago United States

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pmo civil project engineer lll

ai engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>AI Engineer</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div><ul><li> 4&ndash;8+ years of experience in software engineering, ML engineering, or AI solution development
</li></ul><ul><li> Strong proficiency in Java and experience
</li></ul><ul><li> Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
</li></ul><ul><li> Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
</li></ul><ul><li> Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
</li></ul><ul><li> Familiarity with Docker, Kubernetes, and CI/CD pipelines
</li></ul><ul><li> Strong problem solving, communication, and stakeholder collaboration skills</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>We are seeking a highly skilled Java + AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that solve real business problems. The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise.
</div><div>________________________________________
</div><div>Key Responsibilities
</div><ul><li> Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
</li></ul><ul><li> Translate business use cases into production ready AI solutions with measurable outcomes
</li></ul><ul><li> Deep knowledge in Java streams technology
</li></ul><ul><li> Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
</li></ul><ul><li> Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
</li></ul><ul><li> Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
</li></ul><ul><li> Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
</li></ul><ul><li> Ensure Responsible AI, security, compliance, and data privacy by design
</li></ul><ul><li> Support production deployments, performance tuning, and continuous improvement of AI systems</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div><div>#LI-OJ1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Chicago, IL</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404939</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Engineer

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. You&rsquo;ll help design, build, and deploy intelligent systems that leverage a range of technologies&mdash;from machine learning to generative AI and agent-based architectures&mdash;to solve complex, real-world problems.<br>
This role spans the full AI solution lifecycle: data preparation, model development, application integration, and ongoing evaluation. You will collaborate closely with architects, and domain experts to ensure the AI solutions you help build are intelligent, reliable, and aligned with client goals.<br>
We work across industries and use cases, from early-stage prototypes to production-ready deployments, and we're continuously exploring new AI paradigms&mdash;including AI agents, agent orchestration layer, model chaining, and self-evaluating systems. If you&rsquo;re excited by emerging AI technologies, fast-moving teams, and applied problem-solving, this is the role for you.<div></div><div><b>
Key Responsibilities</b></div><ul><li><div>
Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings</div></li><li><div>
Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar</div></li><li><div>
Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption</div></li><li><div>
Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training</div></li><li><div>
Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning</div></li><li><div>
Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production</div></li><li><div>
Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case</div></li><li><div>
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities</div></li><li><div>
Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives</div></li><li><div>
Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution</div></li></ul><div></div><div><b>
Required Qualifications</b></div><ul><li><div>
3+ years of hands-on experience in AI/ML development or intelligent application engineering</div></li><li><div>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field</div></li><li><div>
Experience in Python</div></li><li><div>
Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</div></li><li><div>
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</div></li></ul><div></div><div><b>
Preferred Qualifications</b></div><ul><li><div>
5+ years of hands-on experience in AI/ML development or intelligent application engineering</div></li><li><div>
Proficiency in Python</div></li><li><div>
Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</div></li><li><div>
Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks</div></li><li><div>
Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases</div></li><li><div>
Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</div></li><li><div>
Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services</div></li><li><div>
Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus</div></li><li><div>
Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus</div></li><li><div>
Knowledge of AI system evaluation, observability, or prompt performance testing is a plus</div></li><li><div>
Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences</div></li><li><div>
Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus</div></li><li><div>
Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills</div></li><li><div>
Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery</div></li></ul><div></div><div>
Flexible living locations across US or Canada, ability to travel as needed.</div><div><br>
The estimated base salary for this job is $130,000 - $160,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $145,600 - $188,800 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.<br>
<br>
#LI-CL1<br>
#LI-REMOTE</div><div></div><h2 class="jobSectionHeader"><b>
Position Level</b></h2>
Senior Associate<div></div><h2 class="jobSectionHeader"><b>
Country</b></h2>
United States of America</div>

AI/ML Engineer (Senior Associate) - Remote

Acosta Group

<div><p>Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta&rsquo;s internal operations and decision-making capabilities. This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio.</p><p>
The ideal candidate will have hands-on experience with cloud platforms (preferably Azure), agentic frameworks (e.g., LangChain), Large Language Models (LLMs), and generative AI techniques including fine-tuning and Retrieval-Augmented Generation (RAG). Proficiency in Python and SQL is essential, along with a solid understanding of vector databases, semantic search, and dimensional data modeling. Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued.</p><p>
Beyond technical implementation, the AI Engineer will provide second- and third-level support, mentor business users and citizen developers, and collaborate with cross-functional teams to embed AI into business-critical workflows. The role also supports Acosta&rsquo;s broader AI initiatives by enabling infrastructure readiness, contributing to the AI Center of Excellence, and integrating intelligent automation tools across the enterprise.</p><p></p><p><br>
This is a <b>hybrid role</b> based in our office environment. Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs.</p><p>
Essential Functions of this Position</p><ul><li>
Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives</li><li>
API Development &amp; Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.</li><li>
Vectorization &amp; Embeddings: Expertise in vector databases and semantic search.</li><li>
Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio</li><li>
Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365</li><li>
Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices</li><li>
Provide second- and third-level support for AI-related incidents, enhancements, and deployments</li><li>
Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads</li><li>
Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption</li><li>
Mentor and support business users and citizen developers in building and scaling AI-powered solutions</li><li>
Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement</li><li>
Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity</li><li>
Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy</li><li>
Maintain and enforce change control processes.</li><li>
Assist in developing and maintaining operational standards and best practices.</li><li>
Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.</li><li>
Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.</li><li>
Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).</li><li>
Perform other duties as required and/or assigned.</li></ul><p>
Applicants must be <b>legally authorized to work in the United States and/or Canada</b> without the current or future need for <b>employer-sponsored work authorization</b>.</p><p>
Minimum Education and Work Experience</p><ul><li>
Bachelor&rsquo;s Degree in Technology Industry is preferred or equivalent work experience</li><li>
High School Diploma/ GED is required</li><li>
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.</li><li>
Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).</li></ul><p>
Knowledge, Skills, and Abilities Requirements</p><ul><li>
Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.</li><li>
Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).</li><li>
Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).</li><li>
LLMs &amp; Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.</li><li>
Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI</li><li>
Familiarity with MLOps practices and tools for model lifecycle management and monitoring</li><li>
Understanding of responsible AI principles, including fairness, transparency, and data privacy</li><li>
Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape</li><li>
Experience with cloud-based development environments, particularly Microsoft Azure</li><li>
Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response</li><li>
 Excellent communication skills (both written and oral) combined with strong interpersonal skills.</li><li>
Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.</li></ul><p><br>
Physical Requirements</p><ul><li>
Seeing</li><li>
Listening</li></ul><p></p><p><br>
The incumbent(s) in this position should exhibit the following Acosta values:</p><ul><li>
People Minded &ndash; Must show dignity and respect to all people</li><li>
Integrity &ndash; Must exemplify the highest degree of ethical behavior</li><li>
Results Oriented &ndash; Must show passion, pride and commitment to succeed</li><li>
Trust &ndash; Must be honest, sincere and confident</li><li>
Teamwork &ndash; Must build trusting relationships</li><li>
Innovation &ndash; Must progress through a combination of creativity, common sense and vision</li><li>
Balance &ndash; Must maintain an optimistic attitude and keep perspective on what is important in life.</li></ul><div>
Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies&mdash;Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing.</div><br>
<div>
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</div><div>We recognize our associates are the foundation of our success. That&rsquo;s why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions&mdash;whether you&rsquo;re looking for part-time flexibility or full-time career advancement.</div><br>
<div>
<br>
</div><div>Ready for a career path that&rsquo;s as unique as you? Discover your path at Acosta Group!</div><br>
<div>
<br>
</div><div>Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. Be sure to include &quot;Applicant Accommodation&quot; in the subject of your email to expedite the request.</div><br>
<div>
<br>
</div><div>Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting.</div><div><br>
<br>
</div><div><p>The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov)</p></div><div><br>
<br>
</div><div>By applying, you agree to our Privacy Policy and Terms and Conditions of Use.</div><br>
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</div><div><b>#DiscoverYourPath</b></div></div>

AI/Machine Learning Data Engineer

Stratosys Technologies LLC

<p><b>About the role:</b><br/>We are seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for our insurance operations. You will design, develop, and deploy advanced GenAI solutions like RAG and Agentic AI workflows to optimize risk assessment, claims automation, fraud detection, and personalized underwriting. Leading a team, you'll integrate AI into production systems on Cloud platforms, drive model performance, and align innovations with business goals in the dynamic insurance landscape.</p><p><b>Key Responsibilities:</b></p><p><b>Generative AI &amp; Agentic Workflows:</b></p><ul><li>Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of LLMs, and frameworks like LangGraph/LangChain to automate insurance processes such as policy binding and claims adjudication.</li><li>Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution.</li><li>Evaluate LLMs for accuracy, bias mitigation, and alignment with insurance regulations (e.g., IRDAI compliance).</li></ul><p><b>Model Development &amp; Deployment:</b></p><ul><li>Architect, build, and refine ML/GenAI models (traditional and generative) to tackle insurance challenges like predictive analytics for market risk, anomaly detection in claims, and isolation forests for fraud.</li><li>Deploy scalable models in production on AWS/Azure/GCP.</li><li>Optimize models using performance metrics, feedback loops, and A/B testing for cost-efficiency and reliability.</li></ul><p><b>Leadership &amp; Collaboration:</b></p><ul><li>Lead cross-functional teams to integrate AI into existing workflows, enhancing efficiency in underwriting, binding authority, and operations.</li><li>Develop robust benchmarks, evaluation metrics, and monitor model drift/bias in large insurance datasets.</li><li>Stay ahead of AI advancements, mentoring juniors and presenting insights to stakeholders.</li></ul><p><b>Qualifications &amp; Talents:</b></p><ul><li>Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Data Science, or related field.</li><li>10+ years in ML/Data Science, with 3+ years leading GenAI projects in insurance/finance.</li><li>Expertise in Python, ML libraries (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), and GenAI frameworks (LangChain, LangGraph).</li><li>Strong stats, algorithms, data structures; experience with large datasets, visualization (Matplotlib, Seaborn, Tableau).</li><li>Excellent communication, problem-solving, and team leadership skills.</li><li>Passion for AI innovation and insurance domain knowledge (e.g., binding authority, actuarial models).</li></ul><p>Pay: $70.00 - $75.00 per hour</p><p>Benefits:</p><ul><li>Referral program</li></ul><p>Work Location: Hybrid remote in Chicago, IL 60617</p>

Lead Data Scientist

YO IT Consulting

<div>
 Role Overview
 <br/>
 <br/>
 Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Synthesize information from large volumes of data
  </li>
  <li>
   Annotate and categorize text, images, and other data according to detailed guidelines
  </li>
  <li>
   Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
  </li>
  <li>
   Flag inconsistencies, ambiguities, or errors in datasets
  </li>
  <li>
   Contribute to the improvement of AI systems through consistent annotation work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to synthesize complex or high-volume information into structured formats
  </li>
  <li>
   Strong critical reasoning, reading comprehension, and written communication skills
  </li>
  <li>
   Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
   <br/>
   <br/>
  </li>
 </ul>
 More About the Opportunity
 <br/>
 <br/>
 <ul>
  <li>
   Expected commitment: ~20 hours/week
   <br/>
   <br/>
  </li>
 </ul>
 Application Process
 <br/>
 <br/>
 <ul>
  <li>
   Submit your resume to begin
  </li>
  <li>
   Complete a Training Assessment
  </li>
  <li>
   Typical response time: 1-2 business days
   <br/>
   <br/>
  </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 <br/>
 <br/>
 Contract and Payment Terms
 <br/>
 <br/>
 <ul>
  <li>
   You will be engaged as an independent contractor.
  </li>
  <li>
   This is a fully remote role that can be completed on your own schedule.
  </li>
  <li>
   Projects can be extended, shortened, or concluded early depending on needs and performance.
  </li>
  <li>
   Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  </li>
  <li>
   Payments are weekly on Stripe or Wise, based on services rendered.
  </li>
 </ul>
</div>


Ai Trainer/Data Annotator - Remote

PAR Technology

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2><p>
Chicago; Austin ; Minneapolis; New Hartford; Syracuse Region</p></div><div><h2 class="jobSectionHeader"><b>
Employment Type</b></h2><p>
Full time</p></div><div><h2 class="jobSectionHeader"><b>
Location Type</b></h2><p>
Hybrid</p></div><div><h2 class="jobSectionHeader"><b>
Department</b></h2><p>
Human Resources</p></div><div><h2 class="jobSectionHeader"><b>
Compensation</b></h2><ul><li>
$130K &ndash; $140K &bull; Offers Bonus</li></ul><div><p><b><i>
The base salary range for this position is commensurate with work location, experience, skills, certifications, education, and prior accomplishments. The position may be eligible for additional compensation, including a bonus, commission and/or equity, as applicable.</i></b></p></div></div></div>
<br><div><div><p>For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our &quot;Better Together&quot; ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.</p><p><b>
Position Description:</b></p><p>
PAR Technology is seeking a strategic, hands-on Head of Marketing Enablement to build and lead two critical functions: internal team enablement and customer training. This role sits at the intersection of product knowledge, go-to-market strategy, and learning design &mdash; ensuring our sales, customer success, and account management teams are fully equipped to position and sell our restaurant technology solutions, while simultaneously empowering customers to get maximum value from our products through PAR Academy.</p><p>
The ideal candidate is part curriculum architect, part content creator, and part cross functional collaborator &mdash; someone who can partner with Product Marketing to translate complex product information into compelling training, resources, and tools, and deliver them at scale using modern AI-powered platforms.</p><p><b>
Position Location:</b></p><p>
Remote
</p><p><b>Reports To:</b></p><p>
VP of Marketing</p><p><b>
What We&rsquo;re Looking For:</b></p><p>
Requirements:</p><ul><li>5+ years of experience in sales enablement, revenue enablement, customer education, or a closely related function</li><li>Proven track record building and scaling enablement or training programs in a B2B SaaS environment</li><li>Strong ability to translate complex product and technical information into clear, compelling training content</li><li>Experience working closely with Product Marketing to operationalize messaging and competitive content</li><li>Demonstrated experience managing an LMS or customer academy platform</li><li>Excellent cross-functional collaboration skills with the ability to influence without authority</li><li>Strong project management skills with the ability to manage multiple programs simultaneously</li></ul><p>
Tools &amp; Technology:</p><ul><li><p>
ElevenLabs - AI voice generation for scalable, high-quality training content production</p></li><li><p>
Intellum - LMS platform for PAR Academy (customer) and internal training delivery</p></li><li><p>
Gong - Conversation intelligence &mdash; surfacing knowledge gaps and informing enablement priorities</p></li><li><p>
Salesforce - CRM integration for tracking certifications, enablement activity, and performance</p></li><li><p>
Canva - Branded visual content for battle cards, enablement assets, and training materials</p></li><li><p>
AI Tools (general) - AI-native content workflows for scripting, narration, and scalable training production
</p></li></ul><p>Additional skills:</p><ul><li>Experience in restaurant technology, hospitality tech, or adjacent vertical SaaS</li><li>Familiarity with enterprise GTM motions including complex sales cycles and multistakeholder accounts</li><li>Prior experience managing or mentoring a team</li></ul><p><b>
Unleash your potential: What you will be doing and owning:</b></p><p><b>
Internal Team Enablement:</b></p><p>
Design and lead a scalable, ongoing training program for Sales, Account Management, and Customer Success teams, covering:</p><ul><li>Product knowledge, positioning, and messaging across all restaurant technology solutions</li><li>Sales battle cards, objection handling frameworks, and competitive positioning &mdash; developed in close partnership with Product Marketing</li><li>New feature rollouts and product updates, ensuring GTM teams are informed and prepared ahead of each launch</li><li>New hire onboarding curriculum to ramp Sales, AM, and CS hires quickly and confidently</li><li>Ongoing reinforcement training to keep teams current as the product portfolio evolves</li></ul><p><b>
Partner with Product Marketing to:</b></p><ul><li>Consume competitive intelligence and win/loss insights developed by PMM, then package and distribute them in actionable, field-ready formats</li><li>Align all enablement content with approved messaging, positioning frameworks, and go-to-market strategy</li><li>Co-develop launch enablement plans for new products and major feature releases</li></ul><p><b>
Customer Training &amp; PAR Academy:</b></p><ul><li>Own and manage PAR Academy &mdash; PAR's customer-facing learning management system and training program</li><li>Develop and maintain a comprehensive library of customer training content including courses, certifications, how-to guides, and product walkthroughs</li><li>Create structured learning paths tailored to different customer roles (operators, IT, managers) and product lines</li><li>Drive customer adoption and product proficiency through proactive training initiatives tied to onboarding and ongoing success motions</li><li>Measure and report on training effectiveness, completion rates, and the impact of training on customer outcomes and retention</li><li>Continuously update content to reflect product changes, customer feedback, and evolving best practices</li></ul><p><b>
Strategy, Operations &amp; Cross-Functional Collaboration:</b></p><ul><li>Establish and track KPIs for both internal enablement and customer training programs</li><li>Build a scalable content infrastructure using AI-powered tools to produce high quality training materials efficiently and at speed</li><li>Collaborate with Sales leadership, CS leadership, and Product to identify knowledge gaps and prioritize enablement investments</li><li>Maintain a centralized, well-organized resource library accessible to all GTM team members</li></ul><p><b>
Interview Process:</b></p><ul><li><p>
Interview #1: Phone Screen with Talent Acquisition Team</p></li><li><p>
Interview #2: Video interview with the Hiring Manager (via MS Teams)</p></li><li><p>
Interview #3: Video interview with the Team (via MS Teams)</p></li></ul><p>
PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you&rsquo;d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.</p></div></div><p></p>

Head of Marketing Enablement

Robert Half

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  We are looking for a detail-oriented Deal Desk Analyst to join our team in Chicago, Illinois. In this contract position, you will play a key role in managing and processing various operational tasks, ensuring accuracy and efficiency in support of our sales and business functions. This is an excellent opportunity to collaborate with diverse teams, including legal, finance, and billing, and contribute to streamlined workflows.
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  Responsibilities:
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  &bull; Navigate Salesforce efficiently to manage quotes, opportunities, accounts, and files.
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  &bull; Review and edit customer and vendor contracts, ensuring proper version control and document protection.
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  &bull; Handle redline edits, including commenting, tagging, and cleaning up finalized documents.
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  &bull; Utilize Microsoft Suite tools such as Word and SharePoint to complete tasks effectively.
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  &bull; Ensure all documentation is accurate and comprehensive, maintaining a high level of attention to detail.
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  &bull; Process and manage electronic signatures using DocuSign.
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  &bull; Collaborate with legal, finance, and billing teams to address paperwork and post-deal inquiries.
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  &bull; Provide support to sales teams by identifying process requirements and suggesting improvements.
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  &bull; Manage multiple requests and priorities simultaneously, maintaining focus and organization.
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 &bull; Proficiency in Salesforce CPQ for navigating and managing sales processes.
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 &bull; Strong skills in contract management, including editing, version control, and document protection.
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 &bull; Hands-on experience with DocuSign for electronic signature management.
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 &bull; Familiarity with redline processes, including reviewing and finalizing edits.
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 &bull; Advanced knowledge of Microsoft Word and SharePoint.
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 &bull; Exceptional attention to detail and ability to ensure accuracy in documentation.
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 &bull; Comfortable working with cross-functional teams such as legal, finance, and billing.
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 &bull; Proven ability to support sales teams and manage competing priorities effectively.
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  Robert Half is the world&rsquo;s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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  Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
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  Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.
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  All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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  &copy; 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking &ldquo;Apply Now,&rdquo; you&rsquo;re agreeing to Robert Half&rsquo;s Terms of Use and Privacy Notice.
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Deal Desk Analyst

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