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Safe-Guard Products International, LLC

<div><p><b><i>Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform.</i></b></p><p><b>
Job Title: </b>Manager, Software Engineering (hybrid- onsite Monday-Thursday)</p><p><b>
Location: </b>US-GA-Atlanta (Sandy Springs)</p><p><b>
FLSA</b>: Exempt</p><p>
#LI-Hybrid</p><p><b>
Job Overview</b>:</p><p>
We are seeking a Manager of Software Engineering to lead a full-stack engineering team of 10+ engineers across onshore and offshore locations, owning our Contract Cancellations and Claims Payments platforms, including both internal and external-facing applications. This role reports to the Sr. Engineering Manager over Claims and Cancellations and is responsible for the delivery, stability, and modernization of the systems that process contract cancellations and claims payments for our OEM and dealer partners.</p><p>
The ideal candidate brings hands-on engineering leadership, strong full-stack experience across frontend and backend, and a track record of using GenAI tools to accelerate the development lifecycle, paired with the ability to manage distributed onshore/offshore teams.</p><p><b>
Job Responsibilities:</b></p><ul><li>
Lead, mentor, and develop a distributed, full-stack engineering team of 10+ engineers (onshore and offshore).</li><li>
Own the end-to-end delivery, reliability, and evolution of the Contract Cancellations and Claims Payments applications, both internal and external-facing, spanning frontend and backend.</li><li>
Partner with business stakeholders (Finance, Claims Operations, Product) to translate contract and payment processing needs into scalable technical solutions.</li><li>
Oversee full-stack applications built on microservices and modern frontend frameworks, backed by both SQL and NoSQL databases.</li><li>
Champion the adoption of GenAI tools and agentic development practices (e.g., AI-assisted coding, automated testing, documentation) to improve engineering velocity and quality.</li><li>
Drive engineering best practices including CI/CD, automated testing, code quality, and system observability.</li><li>
Balance new feature delivery with technical debt reduction and platform modernization.</li><li>
Ensure systems meet performance, availability, security, and compliance requirements for financial and contract transactions.</li><li>
Coordinate with offshore partners and vendors to ensure consistent delivery and quality.</li><li>
Lead production incident response, root cause analysis, and post-incident improvements for cancellations and payments systems.</li><li>
Build a strong culture of ownership, quality, collaboration, and continuous improvement.</li><li>
Provide coaching, performance management, and career development for engineers on the team.</li></ul><p><i>
The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.</i></p><p><b>
Job Requirements:</b></p><ul><li>
7+ years of software engineering experience, including 2+ years in an engineering management or team lead role.</li><li>
Experience leading or working within distributed teams (onshore/offshore).</li><li>
Strong hands-on experience across the full stack, including microservices and modern frontend frameworks.</li><li>
Experience with SQL and NoSQL databases and cloud-native application deployment.</li><li>
Hands-on experience leveraging GenAI in the software development lifecycle (AI-assisted coding tools, agentic development frameworks, automated testing/documentation) is required.</li><li>
Experience with payment processing, contract lifecycle management, or other transaction-heavy systems is strongly preferred.</li><li>
Experience with claims processing or similar workflow-driven platforms is a plus.</li><li>
Strong communication skills with the ability to influence technical and non-technical stakeholders.</li></ul><p><b>
Company Benefits:</b></p><ul><li>
Medical, Dental, and Vision Insurance</li><li>
Flexible Spending Account</li><li>
Health Savings Account</li><li>
401(k) Plan with Company Match</li><li>
Company-paid Short-Term and Long-Term Disability</li><li>
Company-paid Life Insurance</li><li>
Paid Holidays and Vacation</li><li>
Employee Referral Program</li><li>
Employee Assistance Program</li><li>
Wellness Programs</li><li>
Paid Community Service Opportunities</li><li>
Tuition Reimbursement</li><li>
Ongoing Training &amp; Personal Development</li><li>
And More!</li></ul><p><b>
About Safe-Guard Products International:</b></p><p>
Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &amp;Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard&rsquo;s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada.</p><p>
For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service.</p><p><i>
Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.</i></p></div><p></p>

Software Developer (Manager)

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location : Cary, NC (Onsite/Hybrid from Day 1)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><p>We are seeking an experienced <b>Data Scientist</b> to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 85786- 97273</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p></p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist

4P Consulting Inc.

<div><div><p><b>Position: Technical Product Manager III
</b></p><p><b>Location: Atlanta, GA
</b></p><p><b>Duration: 4 Months
</b><br>
<b>Client: Southern Company Services<br>
</b><br>
<br>
</p><p></p><p>Southern Company Services is seeking an experienced Technical Product Manager III to lead cross-functional technology initiatives from concept through deployment. This role requires strong technical acumen, product ownership experience, and the ability to translate business needs into actionable product requirements and technical deliverables.
</p><p></p><p>The ideal candidate will be comfortable working closely with engineering, architecture, and delivery teams while managing product backlogs, priorities, dependencies, and implementation timelines.
</p><p></p><p><b>Key Responsibilities
</b></p><p>&middot; Lead technology products and implementations from discovery through deployment.
</p><p>&middot; Gather business requirements and translate them into product features, user stories, acceptance criteria, and technical deliverables.
</p><p>&middot; Manage product roadmaps, priorities, backlogs, dependencies, and release plans.
</p><p>&middot; Partner with engineering teams, architects, business leaders, and executive stakeholders.
</p><p>&middot; Facilitate process discovery, future-state design, and business transformation workshops.
</p><p>&middot; Support Agile ceremonies, sprint planning, backlog refinement, and delivery tracking.
</p><p>&middot; Manage multiple workstreams and resolve delivery risks, issues, and dependencies.
</p><p>&middot; Use data, user feedback, and experimentation to guide product decisions.
</p><p>&middot; Promote user-centered design, process optimization, and continuous improvement.
</p><p>&middot; Ensure solutions align with enterprise security, governance, compliance, and architecture standards.
</p><p></p><p><b>Required Qualifications
</b></p><p>&middot; 5+ years of experience as a Product Manager, Product Owner, Business Analyst, Scrum Master, Delivery Lead, or similar role.
</p><p>&middot; Experience leading cross-functional technology implementations.
</p><p>&middot; Strong knowledge of Agile, Scrum, product backlog management, and software delivery.
</p><p>&middot; Experience translating business requirements into technical solutions.
</p><p>&middot; Strong organizational, facilitation, communication, and stakeholder-management skills.
</p><p>&middot; Ability to manage multiple priorities, workstreams, and delivery timelines.
</p><p>&middot; Ability to influence teams and drive results without direct authority.
</p><p></p><p><b>Preferred Qualifications
</b></p><p>&middot; Experience delivering AI, Generative AI, machine learning, automation, or data and analytics solutions.
</p><p>&middot; Familiarity with Azure, Google Cloud Platform, or related cloud and AI technology stacks.
</p><p>&middot; Scrum Master or Product Owner certification, such as CSM, PSM, CSPO, or PSPO.
</p><p>&middot; Experience working within enterprise governance, security, and compliance frameworks.
</p><p>&middot; Knowledge of design thinking, process optimization, and business-process reengineering.
</p><p>&middot; Utility, energy, or regulated-industry experience is preferred.</p></div></div><p></p>

Technical Product Manager III 4P/787

Google

<div><p>This role may also be located in our Playa Vista, CA campus.</p><p>
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p><p>
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.</p><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>New York, NY, USA; Atlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience troubleshooting technical issues for internal/external partners or customers.</li>
<li>Experience in either system design or reading code (e.g., Java, C++, Python).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.<br>
</li>
<li>8 years of experience with data analysis and SQL/MySQL.<br>
</li>
<li>8 years of experience in a customer-facing role.<br>
</li>
<li>8 years of experience working with Unix or Linux operating systems/commands.</li>
<li>Experience working with Google Ads, Google Marketing Platform products (e.g., SA360, DV360, GA4), or Google Cloud services.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.</p><br>
<p>
As a Product Deployment Engineer, you will be a key advisor to Google&rsquo;s customers and serve as the definitive regional service authority for a specific product area. You are the strategic bridge between what a customer wants and what gTech Ads has to offer within a specific product area, whether via the standing menu of service or our gTech Ads engineering capabilities. You will have strong customer engagement skills, and the ability to translate customer needs into scalable product strategies. You will develop high quality technical-product specifications that address complex business issues.</p><div></div><p>
Google creates products and services that make the world a better place, and gTech&rsquo;s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers&rsquo; complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.<br>
<br>
To learn more about gTech, check out our video.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Partner with sales and engagement managers to understand customer marketing objectives, infrastructure, first-party data management strategy, and pain points.</li>
<li>Lead in-depth technical assessment/consultation sessions to uncover opportunities where bespoke solutions are required, ensuring solutions respect industry-specific data constraints and business cycles.</li>
<li>Translate complex customer requirements into clear technical specifications and solution designs, considering scalability, reusability, and best practices as well as a clear path to media activation.</li>
<li>Provide technical-product oversight during the implementation phase, ensuring the engineering build remains aligned with the original customer strategy, while delegating base code-level and system-building decisions to the Engineering team.</li>
<li>Collaborate closely with cross-functional gTech teams (e.g., Engineering teams, Solution Experts, Measurement Experts) to orchestrate bundled service delivery and ensure seamless customer outcomes.<br>
</li>
</ul></div>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>

Product Deployment Engineer, gTech Ads

The Home Depot

<p>Position Purpose:<br/></p><p>The Data Scientist will be a key architect in building next-generation agentic systems designed to revolutionize how professional customers manage complex projects. This role is responsible for developing autonomous AI capabilities that bridge the gap between simple search and sophisticated project quoting and fulfillment. You will leverage advanced techniques in Conversational AI, Retrieval-Augmented Generation (RAG), and Multimodal AI to unlock vast enterprise catalogs, automate project and product configuration, and provide real-time sourcing across a massive enterprise assortment.<br/></p><p>As a member of the team, you will design the reasoning paths that allow AI agents to navigate &quot;Pro-speak&quot; queries, extract intent from multimodal project inputs, and manage complex state across omnichannel sessions. Your work will directly empower Pro customers to move from discovery to optimized quoting to transaction in minutes, providing a seamless, self-serve experience at scale.<br/></p><p>Key Responsibilities:<br/></p><p>55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies<br/>20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation<br/>10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals<br/>15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>This position typically reports to Manager or above<br/>This position has 0 Direct Reports<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel less than 10% of the time.<br/></p><p>Physical Requirements:<br/></p><p>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.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience<br/></p><p>AI Orchestration: 4+ years of experience in Data Science with a focus on Conversational AI, GenAI, agentic workflows, custom tool-calling, and reasoning traces (e.g., LangSmith).<br/></p><p>Advanced Retrieval: Mastery of RAG and vector database architectures, specifically for extracting technical specs from unstructured enterprise data.<br/></p><p>Multimodal AI: Experience building pipelines to extract structured SKU-level intent from unstructured multimodal inputs, such as photos or handwritten lists.<br/></p><p>Algorithmic Logic: Background in similarity scoring and attribute-matching to resolve vague technical queries.<br/></p><p>State &amp; Engineering: Experience building stateful AI applications that maintain context across devices and sessions.<br/></p><p>Domain Expertise: Prior experience in B2B e-commerce, supply chain, or trade-related data is a significant plus.<br/></p><p>Technical Expertise: Experience in a modern scripting language (preferably Python); proficient running queries against data (preferably with Google BigQuery or SQL); proficient utilizing statistical techniques to identify key insights that help solve business problems; knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP; working knowledge of Microsoft Excel and Power Point<br/></p><p>Minimum Education:<br/></p><p>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.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>3<br/></p><p>Preferred Years of Work Experience:<br/></p><p>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/></p><p>None<br/></p><p>Preferred Leadership Experience:<br/></p><p>None<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm<br/>Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals<br/>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/>Customer Focus: Building strong customer relationships and delivering customer-centric solutions<br/>Drives Results: Consistently achieving results, even under tough circumstances<br/>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder<br/>Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement<br/>Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals<br/>Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels<br/></p>

CallRail

<div><h3 class="jobSectionHeader"><b>The Position</b></h3>
<p>
CallRail is looking for a motivated, detail-oriented, and customer-focused Tier 1 Technical Support Agent to join our team in Atlanta. In this role, you will be the frontline point of contact for our customers&mdash;marketers, agencies, and business owners&mdash;delivering exceptional, high-touch support to ensure a smooth end-to-end customer experience. You will actively troubleshoot technical issues, verify that workflows and integrations operate as intended, and guide customers toward optimal solutions for their business needs.</p>
<p>
If you thrive in the fast-paced marketing technology space, take pride in rigorous attention to detail, and love turning complex technical challenges into seamless customer experiences, we want to hear from you!</p><h3 class="jobSectionHeader"><b><br>
</b></h3>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3>
<ul><li><b>End-to-End Troubleshooting &amp; Solutioning:</b> Perform active troubleshooting and initial guided diagnostic support across all CallRail products via live channels (phone, chat, web, and email). Look beyond immediate break-fix issues to understand customer goals and provide proactive solutioning.</li>
<li><b>Workflow &amp; Integrations Assurance:</b> Guide customers through workflow and implementation best practices. Verify and maintain smooth data flow across CallRail features and third-party MarTech ecosystems (e.g., Google Ads, Google Analytics, HubSpot, Salesforce, Zapier).</li>
<li><b>Protocol &amp; Operational Excellence:</b> Adhere to Customer Support protocols, including properly coding trouble tickets, maintaining ACD queue availability, conducting professional interactions, and meeting Average Talk and Wrap Up time objectives.</li>
<li><b>Detail-Oriented Documentation:</b> Meticulously log and document all customer interactions, setup configurations, and troubleshooting steps in our ticketing system (Zendesk). Ensure complex setups are thoroughly tested before resolving.</li>
<li><b>Clear Escalation &amp; Bug Reporting:</b> Follow established escalation processes for complex Tier 2/3 issues. Identify, document, and escalate bugs or outages with clear, precise reproduction steps for product and engineering teams.</li>
<li><b>Customer Advocacy &amp; Continuous Improvement:</b> Maintain high customer satisfaction by communicating resolution expectations with professionalism and empathy. Contribute to team documentation, internal support processes, and active participation in training for new products and features.</li>
<li><b>AI Adoption:</b> Leverage AI platforms and modern support tools to streamline operations, solve complex problems efficiently, and maintain industry benchmarks.</li>
</ul>
<h3 class="jobSectionHeader"><b>What You'll Need</b></h3>
<ul><li><b>Frontline Support Experience:</b> 1&ndash;3+ years of professional experience in frontline technical/telephone support and customer-facing troubleshooting, ideally in a SaaS, MarTech, or agency environment.</li>
<li><b>MarTech &amp; Integrations Familiarity:</b> Working knowledge or aptitude with marketing technology tools and web concepts (Google Analytics, Google Ads, CRMs, webhooks, JavaScript snippets).</li>
<li><b>High Attention to Detail:</b> An obsessive eye for detail when reviewing tracking scripts, reproducing bugs, auditing customer setup configurations, and documenting tickets.</li>
<li><b>Analytical &amp; Problem-Solving Skills:</b> Excellent analytical, diagnostic, and root-cause troubleshooting abilities; ability to exercise good judgment under pressure while maintaining a professional demeanor.</li>
<li><b>Strong Communication:</b> Outstanding verbal and written communication skills with the ability to translate complex technical jargon into clear, accessible guidance for non-technical users.</li>
<li><b>Tool Proficiency:</b> Familiarity with modern support and productivity tools (Zendesk, Excel, Google Drive, CRM tools).</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
 Nice to Have</b></h3>
<ul><li>Direct experience using CallRail or similar call-tracking and marketing attribution platforms.</li>
<li>Technical experience or aptitude with MySQL, HTML, CSS, JavaScript, REST APIs, or browser developer tools for debugging.</li>
<li>Degree in Computer Science, Information Technology, or equivalent practical experience.</li></ul><br>
<p></p>
<p><i>
 If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience.</i></p><h3 class="jobSectionHeader"><b><br>
</b></h3>
<h3 class="jobSectionHeader"><b>Additional Perks</b></h3>
<ul><li>Healthcare (one option covered at 100% for employees), Dental &amp; Vision Coverage</li>
<li>Competitive HSA with company matching</li>
<li>Paid parental leave</li>
<li>Flexible vacation policy</li>
<li>401K options with company dollar-for-dollar match</li>
<li>Employee stock options available from day one</li>
<li>$2,000 annual educational allowance</li>
<li>Catered lunch every Tuesday * an in-office perk</li>
<li>MARTA transportation or office parking expenses covered</li>
<li>Employee charitable donation company match, up to $500 annually</li>
<li>Regular company outings and events</li>
<li>Hybrid work options with $500 office stipend to set up your home office</li>
<li>Designated bike storage</li></ul><br>
<h3 class="jobSectionHeader"><b>
</b></h3><p>Learn more: https://www.callrail.com/about/</p>
<p><b>
You Are Welcome Here</b></p>
<p>
CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).<br>
<br>
<b>Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks.</b></p><br>
<p><b><i>
This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays.</i></b><br>
<b><i>Beginning in January 2027, CallRail will transition to a 3.5-day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays, with Wednesdays alternating bi-weekly between remote and in-office. Fridays will remain remote.</i></b></p></div>

Technical Support Specialist - Tier I

Varonis Systems

<p></p><div><div><p><b>Job Description</b></p><div></div><div>
Technical Account Managers are the primary contact for Varonis customers and the first line of defense for data. All Varonis employees are Customer Success and Technical Account Managers are the tip of the spear. Technical Account Managers provide onboarding and proactive on-going value and support to Varonis customers, responsible for driving measurable security outcomes across cloud data, modern data platforms, and the AI systems that depend on them. TAMs are accountable for translating Varonis capabilities into reduced risk, controlled access, and safe AI adoption across customer environments. To be a successful Technical Account Manager you must be a motivated self-starter, be committed to on-going self-development and education and possess strong technical acumen and customer service skills.</div><p><b>
Responsibilities</b></p><ul><li>
Onboard Customers to Varonis platforms and deliver on-going value and support</li><li>
Lead customers through discovery, remediation, alerting, and governance of sensitive data to ensure all data is protected from insider threats, cyber-attacks, and policy violations</li><li>
Help customers identify and mitigate risks related to AI systems, including copilots, LLMs, and shadow AI usage</li><li>
Drive measurable reduction in data exposure across cloud, SaaS, and data platforms
</li><li>Ensure Customer success through frequent proactive health checks, hands-on product usage and training, and development and sharing of best practices</li><li>
Prepare and deliver quarterly business reviews, data risk assessments, and AI risk posture discussions</li><li>
Alongside Sales, identify and champion upsell opportunities</li><li>
Learn new Varonis products as they are developed and released and develop expertise in your client&rsquo;s unique security ecosystem(s)</li><li>
Help Account Managers and Sales Engineers identify renewal risk and collaborate to remediate and ensure successful renewals
</li><li>Serve as primary technical contact and augment our support and engineering teams</li><li>
Advocate on behalf of customers with appropriate internal Varonis teams to ensure customer feedback is adequately documented and assessed by appropriate parties
</li><li>Engage with customers at all levels of their organization, including but not limited to: Infrastructure, AI/ML, Cloud, Privacy &amp; Compliance, Security, Incident Response, and the C-suite.</li><li>
Identify, research, maintain control, and remediate customers&rsquo; technical issues in a timely manner. Follow up promptly with recommendations and action plans and engage appropriate internal teams as required.
</li><li>Escalate customer issues to management when appropriate
</li><li>Create knowledge base content to capture new learning for customer and internal reuse.
</li></ul><p><b>Requirements</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent experience</li><li>
4+ Years working in a customer facing role at a Cloud Security, Cyber Security, or Data Security &amp; Privacy company
</li><li>Experience working with enterprise SaaS/IaaS/PaaS environments (AWS, Azure, GCP, Salesforce, M365, etc.)</li><li>
Knowledge of enterprise IT, cloud, identity and access models (EntraID/IAM), and security technologies
</li><li>Understanding of data classification, governance, and DSPM concepts</li><li>
Familiarity with AI/LLM data risks and governance considerations (preferred)</li><li>
Outstanding customer service skills and ability to quickly establish technical credibility and relationships with customers</li><li>
Excellent communication skills with the ability to engage technical and executive audiences</li><li>
Proven problem-solving abilities</li><li>
Commitment to customer success</li><li>
Proven success in contributing to a team-oriented environment.</li><li>
Sales oriented.</li><li>
Proven ability to work creatively and analytically in a problem-solving environment.</li><li>
Excellent communication (written and oral) and interpersonal skills.</li></ul><div></div><div><i><br>
</i></div><div><i>
We invite you to check out our Instagram Page to gain further insight into the Varonis culture!</i></div><div><i>
@VaronisLife</i></div><div><i>
Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics</i></div></div><div>
</div><div><b>
#LI-Remote</b></div></div>

Technical Account Manager

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