ai sales specialist iii, google cloud

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ai sales specialist iii google cloud

Google

<div>
 Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 
 
 In-office locations: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; New York, NY, USA.
 
 
 
 
 Remote location(s): Georgia, USA; Illinois, USA; New York, USA.
 
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business or Computer Science, or a related technical field, or equivalent practical experience.
 </li>
 <li>
 10 years of experience in a client-facing technical role such as a Technology Sales, Solutions Architect, Cloud Architect, or Executive Sales Engineer.
 </li>
 <li>
 Experience identifying AI use cases to solve customer issues or selling AI technology to clients.
 </li>
 <li>
 Experience with cloud technologies including infrastructure, database, and analytics services.
 </li>
 <li>
 Experience with commercial and legal negotiations, working with Procurement, Legal, and Business teams.
 </li>
 <li>
 Experience leading and working with cross-functional teams (technical and non-technical).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 8 years of experience designing and building production-grade applications on public cloud platforms.
 </li>
 <li>
 Experience with modern application development practices, including Continuous Integration/Continuous Deployment (CI/CD), containerization (Docker, Kubernetes), and microservices architecture.
 </li>
 <li>
 Experience working with internal and external technical leads to inventory software estates, define migration plans, and build business cases.
 </li>
 <li>
 Experience growing an existing customer base and acquiring new logos to increase spend and accelerate consumption business.
 </li>
 <li>
 Experience cultivating C-level relationships and collaborating with executive stakeholders.
 </li>
 <li>
 Proficiency in one or more programming languages (e.g., Python, Java, Go).
 
 
 </li>
 </ul>
 
 About the job
 
 As a Cloud AI Transformation Sales Specialist, you will manage the growth strategy for enterprise accounts, a patch/group of accounts or a strategic industry. You&rsquo;ll leverage experience engaging with executives to build on existing relationships, establish relationships in new areas, and act as a business partner to understand our customer's issues and goals. You will advocate the innovative power of our products and solutions to make organizations more productive, collaborative, and mobile.
 
 
 It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.
 
 
 The US base salary range for this full-time position is $138,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead technical and commercial engagements with enterprise customers, from initial discovery and solution architecture to contract negotiation and implementation oversight.
 </li>
 <li>
 Design and architect innovative, cloud-based solutions that address business issues, leveraging expertise in infrastructure, data analytics, and application development.
 </li>
 <li>
 Build and present compelling proofs-of-concept (POCs) and technical demonstrations to showcase the value and feasibility of proposed solutions.
 </li>
 <li>
 Lead cross-functional teams including customer engineers, product managers, and partners to ensure implementation and customer adoption. Externally, cultivate and maintain C-level relationships, acting as a primary technical advisor to C-levels, and their leadership teams.
 </li>
 <li>
 Drive business growth by growing spend within the existing customer base and acquiring new enterprise logos.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

AI Sales Specialist III, Google Cloud

The Home Depot

<div><div>Position Purpose:
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. 
 
Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices. 
Key Responsibilities:<ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
3 - 5 years of relevant work experience 
Experience in Python and modern AI development frameworks 
Experience building Generative AI applications using large language models (LLMs) 
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques 
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic 
Experience with GenAI frameworks such as Google Agent Development Kit (ADK) 
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases 
Experience working with vector databases such as google Vertex AI Search 
Experience with building conversational AI systems, or AI assistants 
Experience with responsible AI practices including bias mitigation and safety guardrails 
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems. 
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management. 
Experience with monitoring, evaluation, and optimization of production AI systems 
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python) 
Experience with GPU acceleration (i.e. CUDA and cuDNN) 
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3 
Experience in writing SQL queries against a relational database 
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security 
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide 
Familiarity with defensive coding practices and patterns for high Availability 
Familiarity with A/B testing and effective REST design for scalable web services architecture 
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/11/2026</div>

Senior Machine Learning Engineer – Generative AI (Remote)

<div>
 Req172351
 
 
 
 Position Purpose
 
 
 
 The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.
 
 
 Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
 </li>
 <li>
 10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
 </li>
 <li>
 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
 </li>
 <li>
 This Position has 0 Direct Reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel 5% to 20% of the time.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3 - 5 years of relevant work experience Experience in Python and modern AI development frameworks Experience building Generative AI applications using large language models (LLMs) Experience with prompt engineering, prompt optimization, and prompt evaluation techniques Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic Experience with GenAI frameworks such as Google Agent Development Kit (ADK) Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases Experience working with vector databases such as google Vertex AI Search Experience with building conversational AI systems, or AI assistants Experience with responsible AI practices including bias mitigation and safety guardrails Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems. Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management. Experience with monitoring, evaluation, and optimization of production AI systems Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python) Experience with GPU acceleration (i.e. CUDA and cuDNN) Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3 Experience in writing SQL queries against a relational database Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide Familiarity with defensive coding practices and patterns for high Availability Familiarity with A/B testing and effective REST design for scalable web services architecture Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 No additional education
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 2
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
 <ul>
 <li>
 No additional years of experience
 
 
 </li>
 </ul>
 
 Minimum Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Preferred Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Certifications
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Global Perspective
 </li>
 <li>
 Manages Ambiguity
 </li>
 <li>
 Nimble Learning
 </li>
 <li>
 Self-Development
 </li>
 <li>
 Collaborates
 </li>
 <li>
 Cultivates Innovation
 </li>
 <li>
 Situational Adaptability
 </li>
 <li>
 Communicates Effectively
 </li>
 <li>
 Drives Results
 </li>
 <li>
 Interpersonal Savvy
 
 
 </li>
 </ul>
 
 Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
 
 
 
 Apply End Date: 05/11/2026
</div>

<div><div>Position Purpose:
The Staff Machine Learning Engineer is responsible for joining cross-functional teams (product, design, Engineering, infrastructure) to build innovative GenAI application experiences and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Staff ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. 
Key Responsibilities:<ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
5 - 7 years of relevant work experience</li><li>
Experience in Python and modern AI development frameworks</li><li>
Experience building Generative AI applications using large language models (LLMs)</li><li>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques</li><li>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic</li><li>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)</li><li>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases</li><li>
Experience working with vector databases such as google Vertex AI Search</li><li>
Experience with building conversational AI systems, or AI assistants</li><li>
Experience with responsible AI practices including bias mitigation and safety guardrails</li><li>
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.</li><li>
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.</li><li>
Experience with monitoring, evaluation, and optimization of production AI systems</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/11/2026</div>

Staff Machine Learning Engineer – Generative AI (Remote)

Equifax

<div>Equifax is a global data, analytics, and technology company powered by the brainpower of nearly 15,000 team members. We are looking for a smart, confident, and dynamic Manager of Indirect Tax &amp; Tax Technology to help us power the world with knowledge. In this role, you will not just manage tax; you will innovate the way we use technology to drive financial inclusion and business growth.
<h3 class="jobSectionHeader">What you&rsquo;ll do:
</h3><ul><li>Taxability Research &amp; Analysis: Perform deep-dive research into state and local tax (SALT) laws to determine the accurate taxability of products and services utilized and sold by Equifax and its subsidiaries.
</li><li>Strategic Client Consultation: Lead internal and external client meetings to address complex inquiries and provide expert guidance regarding product taxability.
</li><li>Contractual Review: Evaluate and refine indirect tax clauses within client contractual agreements to ensure regulatory compliance and risk mitigation.
</li><li>GL &amp; Financial Integrity: Manage general ledger accounting for tax, including the precision reconciliation of GL account details against billing data and Vertex tax reports.
</li><li>Systems Management: Serve as a functional user and administrator of Vertex tax application software and supporting technology platforms.
</li><li>Audit Defense &amp; Mitigation: Direct audit mitigation strategies related to sales, use, and property taxes to protect company interests.
</li><li>Notice Resolution &amp; Documentation: Resolve state tax notices by preparing formal letters of understanding and technical memorandums detailing company actions.
</li><li>Regulatory Compliance: Oversee the preparation and filing of business registration documents to ensure multi-state operational standing.
</li><li>Operational Excellence: Manage essential administrative workflows, including the meticulous maintenance of state and local tax files and compliance calendars
</li></ul><h3 class="jobSectionHeader">What experience you need:
</h3><ul><li>Bachelor&rsquo;s degree in Accounting, Finance, or a related field.
</li><li>5-7 years of experience in indirect tax, with a specific focus on technology or multi-state service industries.
</li><li>Specific, measurable experience implementing or maintaining Vertex tax software integrated with Oracle or similar global ERPs.
</li><li>Demonstrated ability to perform complex tax research using digital research platforms and translating findings into business requirements.
</li><li>Direct experience managing and successfully closing state and local indirect tax audits.
</li><li>Advanced data literacy, including the ability to manipulate large datasets in Excel or similar analytics platforms for tax reporting.
</li></ul><h3 class="jobSectionHeader">What could set you apart
</h3><ul><li>Certified Public Accountant (CPA) or Master of Taxation.
</li><li>Big 4 public accounting experience with a focus on State &amp; Local Tax (SALT).
</li><li>Experience with Alteryx, Tableau, or AI-driven tax automation tools.
</li><li>Knowledge of Google Cloud Platform and Google Workspace tools.
</li><li>A &quot;Grow and Innovate&quot; mindset with a track record of automating manual financial processes.
</li></ul>#LI-SK1
#Hybrid</div>

Manager, Indirect Tax

<div>Position Purpose:
The SaaS Security Manager is responsible for leading a team that continuously assesses and improves the security posture of The Home Depot&rsquo;s SaaS applications across the enterprise. This role owns the SaaS Security program, establishes standards and guardrails for SaaS platforms, and partners with product, engineering, and enterprise teams to protect customer, associate, and company data in third-party cloud services. 
Key Responsibilities:<ul><li>
100% Deliver Execution, Plans &amp; Aligns, Develop Others - Collaborate across teams to reduce vulnerabilities, risks, and incident management; Drive execution of solution delivery; Guide teams in strategy, alignment, analysis, and execution to ensure priorities, objectives/deliverables are met; Provide leadership, mentoring, and coaching to direct reports</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Sr. Manager or Director</li><li>
This position has 6-10 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
5+ years of experience in Information Security, with at least 2 years focused on Cloud or SaaS security.</li><li>
2+ years of people management or technical leadership experience.</li><li>
Proven experience securing major enterprise SaaS platforms (e.g., Google Workspace, Microsoft 365, Salesforce, ServiceNow, Slack, Atlassian).</li></ul> 
Preferred Qualifications:<ul><li>
Bachelor's degree in Computer Science, Information Systems, or a related field.</li><li>
Industry certifications: CISSP, CISM, CCSP, or vendor-specific certifications (e.g., Salesforce Certified Security Specialist).</li><li>
Experience with scripting/automation (Python, PowerShell) to automate governance tasks.</li><li>
Experience implementing Data Loss Prevention (DLP) policies across SaaS environments.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8 yrs</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
2+ yrs</li></ul> 
Competencies:<ul><li>
Leadership: Proven ability to lead, motivate, and develop a team of security professionals.</li><li>
Technical Expertise:<ul><li>
Strong knowledge of Identity protocols: SAML, OIDC, SCIM, and OAuth.</li><li>
Familiarity with API security and interconnected SaaS risks (shadow IT, third-party app integrations).</li></ul></li><li>
Strategic Thinking: Ability to prioritize risks in a fast-paced environment and translate technical security risks into business language for stakeholders.</li><li>
Communication: Excellent written and verbal communication skills.</li><li>
Collaboration: Proven ability to work effectively with cross-functional teams (IT, HR, Sales, etc.) to achieve common goals.</li></ul></div>

Cybersecurity Manager, SaaS (REMOTE)

Veritiv

<div>Hybrid - Atlanta, HQ.
Job Purpose:
Our Marketing Cloud Product Owner will be responsible for leading the strategy, management, and execution of our Salesforce Marketing Cloud platform. This role is a blend of product ownership and hands-on technical expertise&mdash;owning the roadmap, delivering innovative marketing solutions, and ensuring campaigns are executed flawlessly. As the Marketing Cloud Product Owner, you will collaborate closely with fellow product owners, architects, and administrators to ensure seamless integration and a consistent stakeholder experience across all Salesforce solutions
Job Responsibilities:<ul><li>Serve as the primary owner and subject matter expert for Salesforce Marketing Cloud.</li><li>Develop and maintain the platform roadmap in alignment with business goals.</li><li>Partner with Digital Commerce, Marketing, Sales, IT, and other stakeholders to prioritize features, enhancements, and integrations.</li><li>Platform management and execution, including build and manage email campaigns, customer journeys, automations, and templates.</li><li>Evaluate and integrate new AI-driven features and marketing innovations.</li><li>Configure data extensions, segmentation, and personalization logic.</li><li>Set up and maintain reusable assets such as content blocks, templates, and automations.</li><li>Ensure proper tracking, reporting, and compliance with relevant regulations (CAN-SPAM, GDPR, etc.).</li><li>Conduct A/B and multivariate tests to improve campaign effectiveness.</li></ul>
Additional Responsibilities &amp; Qualifications:<ul><li>
Serve as the primary owner and subject matter expert for Salesforce Marketing Cloud.</li><li>
Partner with Digital Commerce, Marketing, Sales, IT, and other stakeholders to prioritize features, enhancements, and integrations.</li><li>
Platform management and execution, including build and manage email campaigns, customer journeys, automations, and templates.</li><li>
Evaluate and integrate new AI-driven features and marketing innovations.</li><li>
Configure data extensions, segmentation, and personalization logic.</li><li>
Set up and maintain reusable assets such as content blocks, templates, and automations.</li><li>
Ensure proper tracking, reporting, and compliance with relevant regulations (CAN-SPAM, GDPR, etc.).</li><li>
Conduct A/B and multivariate tests to improve campaign effectiveness.</li></ul>
Work Experience:<ul><li>5-10 years of related job experience.</li></ul>
Education:<ul><li>Bachelor's Degree</li></ul>
What We Offer<ul><li>
Engaging and inclusive culture with employee-led Employee Resource Groups, Veritiv Cultural Alliance, recognition platform, etc.</li><li>
Extensive training opportunities, professional development programs, career pathing, and mentorship opportunities.</li><li>
Collaborative atmosphere with our customers and suppliers to create healthier, safer and more sustainable communities through our responsible operations and innovative solutions.</li><li>
Healthcare benefits, 401k, paid time off and tuition reimbursement.</li></ul>
About Veritiv
Together with its subsidiaries, Veritiv is the leading full-service provider of packaging solutions. Veritiv also provides JanSan, hygiene, print and publishing products and services. Veritiv serves customers in a wide range of industries, through team members around the world helping shape the success of its customers. For more information, visit www.veritiv.com and connect with the Company on LinkedIn.
Veritiv is an Equal Opportunity/Affirmative Action employer. 
EEO Policy US | EEO Policy Mexico
 
This description does not attempt to define the job's essential functions as defined by applicable disabilities law.</div>

Marketing Tech Product Manager

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