B

Bounteous

End-to-end digital transformation for loyalty

Salesforce Sales & Service Cloud Administrator

Full-TimeUpdated on 10/23/2026
No salary listed
Mid
Remote in USA
RemoteRemote in the United States; core hours aligned to Pacific Time. Core hours aligned to Pacific Time; occasional after-hours/weekend support.
IT OperationsEnterprise Applications
H1B Sponsorship Available

About the job

Requirements
  • At least 3 years of hands-on Salesforce administration experience, including at least 1 year supporting Sales Cloud and/or Service Cloud in a production environment.
  • Strong working knowledge of Salesforce objects, fields, record types, relationships, and page layouts.
  • Proven experience building and maintaining Flow automation and approval processes.
  • Practical experience with Opportunity and Lead management, products, price books, quotes, and forecasting configuration.
  • Practical experience with Case management, Omni-Channel, Knowledge, and Entitlement/SLA setup.
  • Solid understanding of profiles, permission sets, role hierarchy, organization-wide defaults, and sharing rules.
  • Experience working within Scrum or Kanban, including backlog grooming and story estimation.
  • Ability to troubleshoot production issues under time pressure and communicate status to technical and non-technical stakeholders.
  • Availability for core hours aligned to Pacific Time, including occasional after-hours or weekend support.
  • Salesforce Certified Administrator certification is required.
Responsibilities
  • Own day-to-day administration of custom and standard objects, page layouts, record types, and data model changes.
  • Build and maintain screen, record-triggered, and scheduled Flow automation, including transitioning or retiring legacy Workflow Rules and Process Builder automation where applicable.
  • Configure and maintain approval processes, including entry criteria, approval steps, and email or notification actions.
  • Configure and maintain Lead, Account, Contact, and Opportunity objects, sales processes, stages, and validation rules for pipeline management.
  • Administer Product, Price Book, Price Book Entry, and Quote or Quote Template configuration for the quote-to-close process; support CPQ or Revenue Cloud Advanced configuration where in scope.
  • Maintain forecast hierarchy, forecast categories, quotas, and Enterprise Territory Management for pipeline visibility and representative assignment.
  • Configure lead assignment rules, lead conversion mapping, and duplicate or matching rules.
  • Support Sales Engagement cadences, Einstein Sales features, and Agentforce Sales capabilities as adopted by the team.
  • Configure Case objects, record types, and Service Console layouts for agent workflows.
  • Administer Omni-Channel queues, routing configurations, and skills-based assignment.
  • Maintain the Knowledge base, article types, data categories, and publishing workflows.
  • Configure Entitlement processes and milestones for SLA compliance and case escalation.
  • Partner with Salesforce engineers and architects to align declarative configuration with broader technical architecture.
  • Work with product management and program delivery leads to translate business requirements into scoped, sized, and sequenced backlog items.
  • Provide estimates for upcoming stories, enhancements, and change requests.
  • Diagnose root causes and implement fixes or workarounds for production issues, collaborating across functions as needed.
  • Identify and drive continuous improvement across configuration, automation, and administration processes.
  • Support Salesforce Lightning Outlook integration configuration and troubleshooting as needed.
  • Contribute configuration support and testing to Agentforce proof-of-concept activities for agentic AI use cases.
  • Attend standups, sprint planning, backlog refinement, and retrospectives during Pacific Time business hours.
  • Support sandbox testing, deployment coordination, and post-release validation.
  • Present and support bi-weekly stakeholder demonstrations.
  • Provide occasional after-hours or weekend support for critical or high-severity production issues.
  • Promote awareness of information security practices, including acceptable use of information assets, malware protection, and password security protocols.
  • Identify, assess, and report security risks and their impact on the confidentiality, integrity, and availability of information assets.
  • Evaluate how data is stored, processed, or transmitted to ensure compliance with data privacy and protection standards, including GDPR and CCPA.
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information.
Desired Qualifications
  • Salesforce Platform Administrator II (formerly Advanced Administrator) certification is strongly preferred.
  • Salesforce Certified Sales Cloud Consultant certification is a plus.
  • Salesforce Certified Service Cloud Consultant certification is a plus.
  • Experience with Lightning Sync or Lightning for Outlook is preferred.
  • Familiarity with Agentforce and Einstein (Copilot or Service Assistant), including proof-of-concept or pilot experience, is preferred.
  • Experience supporting large-scale, multi-team Salesforce programs in hospitality, gaming, or similar industries is preferred.
  • Familiarity with change sets, Salesforce CLI, Gearset, Copado, or similar DevOps tools is preferred.

About the company

Bounteous is a digital transformation partner that builds data-driven solutions to improve customer experiences and loyalty across sectors like restaurants, retail, payments, banking, and insurance. It works with brands such as Domino’s Pizza of Canada, Wingstop, and Wawa to co-create and implement customized digital platforms and loyalty programs. Since merging with Accolite Digital in 2021 and acquiring Hathway, it offers end-to-end services from strategy and design to implementation and ongoing optimization, combining technology, marketing, and analytics. Its goal is to help clients move faster to value by delivering practical, sustainable digital transformations that keep them competitive in a changing market.

Company Size

1,001-5,000

Company Stage

Acquired

Total Funding

N/A

Headquarters

Chicago, Illinois

Founded

2003

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Simplify Jobs

Simplify's Take

What believers are saying

  • Deliverect partnership on August 24, 2026 targets first-party ordering across 80,000 locations.
  • New Mountain Capital bankrolls acquisitions, hiring, and global expansion without public leverage stress.
  • April and May 2026 hires and deals deepen alliances, India delivery, and telecom expertise.

What critics are saying

  • Accenture, Deloitte, and in-house AI teams compress Bounteous pricing by 2027.
  • Anthropic and Deliverect partnerships concentrate pipeline on external platform roadmaps and partner priorities.
  • Cartesian and Accolite integration failures trigger client churn, margin erosion, and culture collapse.

What makes Bounteous unique

  • Bounteous combines 5,000 specialists after Accolite and Cartesian, spanning AI, data, and UX.
  • NomNom powers 30-plus restaurant brands and over $3 billion annual digital revenue.
  • Anthropic named Bounteous a launch Preferred Services Partner in June 2026.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Award-winning culture
  • World-class, Fortune 500 engagements
  • Professional growth opportunities
  • Flexible working hours
  • Take-what-you-need vacation
  • Competitive benefits
  • Continuing education
  • Volunteer programs
  • Ample snacks

Growth & Insights and Company News

6 month growth

19%

1 year growth

19%

2 year growth

19%
Bounteous
Oct 12th, 2026
A faster way to audit enterprise Google Tag Manager containers.

A faster way to audit enterprise Google Tag Manager containers. Enterprise Google Tag Manager programs are hard to govern because the inventory step is slow. Before teams can fix reporting gaps, consent issues, or tag sprawl, someone has to answer a basic question, what is actually running in the container right now? That baseline GTM inventory can take hours or days, depending on the size and complexity of the container. With the new Bounteous GTM Extractor, analytics teams can run a structured inventory in minutes, review an Executive Summary and Health Score, and keep large implementations under control with regular scans instead of manual spreadsheet wrangling. The speed matters because it gives teams more time for governance, cleanup, and measurement improvement. That recurring bottleneck is what led Bounteous to build the Bounteous GTM Extractor, a Chrome extension that helps teams move from manual container review to a faster, more repeatable GTM audit process. The scaling problem with GTM audits. If you have ever inherited an enterprise GTM container, you know the feeling. There may be hundreds of tags, dozens of trigger families, a maze of variables, custom templates from agencies that left years ago, and orphaned configurations that no one can confidently explain or change. Before teams can recommend performance fixes, consent updates, GA4 migrations, or cleanup work, they need to know what is actually in the container. The real cost of tag sprawl. Tag sprawl creates operational, reporting, and compliance risk. Common impacts include: * Performance: Bloated containers can slow page load speeds and degrade Core Web Vitals. * Security: Rogue scripts in Custom HTML tags can create supply chain security risks. * Reporting: Duplicate tags can double-count events and corrupt downstream reporting. * Governance: Decentralized ownership can lead to measurement drift and broken attribution. * Compliance: Untracked tags can create consent compliance risks in stricter regulatory environments. That tracking chaos reflects a broader data quality problem. Adverity's 2025 survey shows that CMOs estimate 45% of their decision-making data is inaccurate, which is why they ranked improving data quality as the absolute best way to boost performance. The time sink in manual GTM audits. The traditional audit workflow is slow because every step depends on manual inspection and cleanup. You click through the GTM UI container-by-container. You export raw JSON, then spend hours reformatting it with spreadsheets, Apps Script, Sheets extensions, or custom API scripts. You write your own pivot tables, cross-reference triggers and variables by hand to find orphans, and then you reformat everything into something presentable for sharing. Existing resources like the GA4 Google Tag Manager Utilities, GTM Tools by Simo Ahava, and various Apps Script solutions are all genuinely excellent. Bounteous has leaned on them for years. But the glue work between them could still take one hour for a small container to several days for a sprawling enterprise account. The catalyst for the Bounteous GTM Extractor. The breaking point came when Bounteous landed an implementation engagement that involved hundreds of GTM accounts and containers, all needing a full audit and documentation overhaul. Tasks like this would normally take weeks if done manually. Bounteous needed a faster way to complete the inventory work so more time could go toward analysis, cleanup planning, and strategic recommendations. With Claude Code as agentic engineering partner, Bounteous prototyped, tested, and shipped the Bounteous GTM Extractor. The extension connects directly to the Google Tag Manager API and returns a complete, structured inventory of any container in roughly 10 to 30 seconds. A structured inventory for GTM audits. The extension connects to the Google Tag Manager API with read-only access and returns a structured inventory in roughly 10 to 30 seconds for typical containers. You search across the GTM accounts you can access, select the containers and workspaces you want, and run the extract. The output is designed for audit work, with enough context to support review, cleanup, and governance decisions. Each extract includes tags, triggers, variables, built-in variables, templates, zones, environments, folders, container information, duplicate detection, and an Executive Summary with a 0 to 100 Health Score. The Health Score starts at 100, and each audit finding reduces the score based on severity. High findings subtract 4 points each, medium findings 1.5 points, and low findings take away 0.5 points. To keep the score balanced, deductions are limited by severity -high findings can reduce the score by at most 60 points, medium findings by at most 25, and low findings by at most 10. That means the score reflects a mix of issue types, not just sheer number of findings in one category. A score of 80 or higher generally indicates a relatively clean container. Scores from 60 to 79 suggest review is warranted. Scores below 60 usually mean several high-priority fixes should come first. This makes the first sheet a practical view of what needs attention right away, including missing consent settings, unused triggers and variables, duplicate configurations, older paused tags, and Custom HTML patterns that deserve review. An inventory with audit context. For each tag, the extractor captures the context teams need to make decisions: * Firing and blocking triggers * GA4 measurement IDs * Event parameters, user properties, and item parameters * Ecommerce flags and consent status * Workspace name and last modified fingerprint * A direct link back into the GTM UI That level of context matters when a stakeholder asks whether a specific event is firing, whether a tag respects consent, or why two reports disagree. The answer should be one filter away, not buried in a half-finished pivot table. Orphans, duplicates, and governance signals. Trigger and variable reference counts are especially useful because they show which configurations are active, unused, or dependent on other parts of the container. The scanner checks tag configurations, trigger filters, auto-event filters, and custom-event filters, so variables used inside trigger conditions are accurately identified. The extension also inventories custom and community templates, including gallery links and imported versions where available. That helps teams see where third-party or locally modified templates are running, which is often one of the harder governance questions to answer manually. Duplicate detection of flags, tags, triggers, and variables that share the same configuration but live under different names. Those duplicates are easy to miss in the UI and can quietly contribute to extra page weight, race conditions, and double-counted analytics events. Exports formats that teams can use. The extractor can create a multi-tab Excel workbook, a detailed CSV, a Google Sheets export written to Drive, raw JSON for deeper analysis, or a quick clipboard copy. The latest workbook format includes audit-friendly tabs for Executive Summary, Findings, Tags, Triggers, Variables, Built-in Variables, Templates, Zones, Environments, Container Info, Folders, and Duplicates. For larger account sets, the extension respects GTM API rate limits with adaptive throttling and cooldown behavior based on Retry-After responses. There's also a cancelling control for cases where it is better to stop, narrow the selection, and rerun the extract. How faster audits improve tag governance. The larger shift is repeatability. When the inventory work takes minutes, audits can become part of regular governance rather than something teams reserve for a rescue project. * Quarterly for any production container under active development * Before every major release, redesign, or platform migration * After any GA4 change, consent mode update, or CMP swap * When onboarding a new vendor, agency, or analytics owner * On demand whenever reporting, privacy, or performance questions surface and you need a current inventory Instead of waiting for a reporting issue or privacy escalation, analytics teams can show what is running, where it fires, who needs to review it, and what should be cleaned up next. The engineering behind the extractor. Building a production-ready Chrome extension for work like this takes serious technical and product engineering: OAuth, API integrations, workbook generation, Google Sheets writes, export logic, rate-limit handling, and a feedback loop. Not long ago, all of that would have required a dedicated engineering backlog. By pairing agentic engineering with its experience, Bounteous were able to prototype, test, and ship the tool far faster. The important part is that the engineering judgment stayed human. AI lowered the cost of building the tool, while its Google Tag Manager and Google Analytics SMEs shaped the use cases, anticipated where it could fail, and defined what a useful audit actually looks like. That's the kind of AI-assisted engineering Bounteous is focused on at Bounteous, building practical systems that help reduce manual effort and help teams reach measurable outcomes faster. Try the Bounteous GTM Extractor The Bounteous GTM Extractor is free, read-only, and available now in the Chrome Web Store. It has become its team's first move for GTM audits, documentation refreshes, implementation planning, and governance reviews. If you don't completely trust your tracking, it's time to eliminate the guesswork. Use the tool to run your first quick audit today so your team can spend less time searching for tags and more time optimizing performance. News & insights. Featured Perspectives

Business Wire
Sep 20th, 2026
Bounteous Announces Strategic Investment from New Mountain Capital

Partnership to power expanded capabilities, service offerings, and geographic reach

Fast Casual
Aug 24th, 2026
Bounteous, Deliverect team up to enhance 1st-party digital ordering.

Bounteous, Deliverect team up to enhance 1st-party digital ordering. August 24, 2026 Deliverect, a global restaurant technology company, and Bounteous, an AI services firm, are partnering to integrate their platforms, aiming to help restaurant and convenience brands deliver scalable, first-party digital ordering experiences, according to a press release. The collaboration combines NomNom, Bounteous' digital experience platform featuring AI-driven personalization, with Deliverect's API-first ordering and fulfillment infrastructure. The integrated solution is designed to allow enterprise brands to provide personalized digital experiences while streamlining operations across carryout, delivery, dine-in, drive-thru and catering channels. "Restaurant brands have often had to choose between delivering a differentiated guest experience and implementing the operational infrastructure needed to scale," Rob Tedesco, senior vice president of product at Bounteous, said in the release. "By integrating NomNom with Deliverect, we're helping brands deliver personalized digital experiences backed by reliable, enterprise-grade ordering capabilities." NomNom currently powers digital platforms for more than 30 restaurant brands, representing over $3 billion in annual digital revenue. Deliverect provides infrastructure for more than 80,000 locations worldwide and processes 30 million API calls daily. "Digital ordering has become one of the most important ways restaurant brands engage with their guests," Don MacMillan, head of partnerships, North America, at Deliverect, said in the release. "Partnering with Bounteous expands our ability to help enterprise brands deliver differentiated customer experiences while maintaining the operational excellence required to serve guests across channels and markets." The companies plan to continue expanding their integration as restaurants and convenience retailers accelerate their investments in first-party digital engagement. Included in this story. Omnichannel digital ordering solutions built to scale Our API-first platform empowers brands to own their digital ecosystem and scale profitably from end-to-end. By providing a flexible foundation for first-party digital experiences and seamless operational flow, we ensure every order, from web, mobile, or third-party, is fulfilled reliably. Request Info

Bounteous
Jul 8th, 2026
Bounteous recognized by ET Edge for AI innovation 2026.

Bounteous recognized by ET Edge for AI innovation 2026. July 7, 2026 | Bounteous Award recognizes the company's innovation in delivering enterprise AI solutions through proprietary AI platform Bounteous Arc(TM) BENGALURU, India, July 8, 2026 - Bounteous, an AI services firm, has been named among ET Edge's Most Innovative Organisations 2026 in the "Innovation in AI-Led Enterprise Modernization" category. The recognition reflects the company's commitment to helping enterprises achieve AI-led outcomes at scale. The ET Edge Most Innovative Organisations platform is an initiative of The Times Group, themed "Redefining Excellence Through Innovation, Impact & Transformation." It spotlights enterprises that go beyond incremental change to transform products, processes, and business models. The platform celebrates organizations shaping the future of business and society across areas including AI, deep tech, sustainability, and customer experience. The ET Edge evaluation framework assesses organizations across key dimensions, including Innovation Vision & Leadership Commitment, Innovation Portfolio & Differentiation, Execution Excellence & Scalability, Measurable Impact & Business Outcomes, and Ecosystem, Culture & Future Readiness. "Enterprises are moving beyond AI concepts and looking for partners who can deliver tangible value in complex, real-world environments," said Ketan Somani, President, Global Markets and Regional CEO, EMEA & APAC at Bounteous. "This recognition reflects the strength of our teams and the work we're doing with clients to apply AI across business-critical functions, improve productivity, and support long-term growth using Bounteous Arc(TM), our proprietary platform." "This recognition reinforces our belief that enterprise AI success isn't defined by pilots, but by the ability to operationalize AI at scale," said Kumar Vikas, EVP, Data & AI at Bounteous. "Businesses today are looking to AI to improve product development, platform performance, process scalability, and the way people experience technology." Bounteous remains focused on helping organizations deploy AI where it can create meaningful business value while preparing their people, processes, and operating models to work alongside intelligent agents. Through Bounteous Arc(TM), the company's proprietary platform for designing, deploying, and operating intelligent agents at enterprise scale, Bounteous helps enterprises build the governance, security, and operational controls needed to deploy AI responsibly across the business. About Bounteous Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. Bounteous help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous helps organizations take AI from experimentation to enterprise scale. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building. News & insights. Related Perspectives

Bounteous
Jul 8th, 2026
Fixing AEM content promotion: from manual workflows to scalable authoring.

Fixing AEM content promotion: from manual workflows to scalable authoring. Across Adobe Experience Manager (AEM) programs, the same authoring challenge keeps showing up. Content is reviewed and approved in a lower environment, but moving that approved content into production still relies on a manual handoff. Authors and stakeholders want to validate real content in staging, yet the final step to production often happens outside the authoring experience, creating a disconnect between approval and release. Teams usually bridge that gap with spreadsheets, runbooks, support tickets, admin scripts, or developer-assisted content moves. These approaches can work in the short term. They rarely scale, and over time, introduce friction into what should be a predictable, governed workflow. The authoring problem that keeps coming back. Many AEM implementations lack a simple, native workflow for promoting Content Fragments between environments with the right level of visibility, guardrails, and dependency awareness. The issues that follow are familiar. Authors struggle to identify exactly what needs to move, especially when referenced fragments and assets are easy to miss. New fragments require repeated coordination across authoring, QA, and development teams, turning even small launches into manual synchronization exercises. This slows teams down in ways that are often underestimated. Authors lose momentum as they wait for support. Developers get pulled into tasks that don't require engineering judgment, and QA teams become part of the content handoff process when their focus should be validation. If moving approved content still depends on ticket-driven coordination or developer intervention, the platform isn't operating as intended. What should be a governed authoring action becomes a recurring delivery bottleneck. Why headless teams feel it more. Headless AEM raises the stakes because preview confidence is critical. Stakeholders often need to review real content in a staging environment before it reaches production, especially for launches, seasonal updates, and high-visibility experiences like homepages. Once content is approved, the gap between "ready in staging" and "live in production" remains. Authors can't always move content independently, which often pulls developers into non-development tasks and brings QA teams into additional handoffs. As a result, releases slow down because the final promotion step still requires manual coordination. That's a signal that the operating model hasn't caught up to the platform. As organizations invest in headless architecture and composable experiences, they also need workflows that support independence, speed, and governance at scale. Without that evolution, teams end up recreating the same manual processes in a more complex environment. Bringing promotion into the authoring experience. Bounteous developed an AEM UI extension that brings content promotion directly into the authoring experience. Authors can initiate promotion from the Content Fragment Console or the Content Fragment Editor without leaving their workflow. The action is both context-aware and environment-aware. In the Console, it appears only after a valid selection is made. In the Editor, it's available while reviewing a specific fragment. This keeps the workflow intuitive and aligned with how authors already work. The real value comes from the guided review process behind the action. Before any content is synchronized, the extension analyzes the selected fragment, compares the source and target environments, and presents a clear view of what will happen. Authors can see what will be created, what will be updated, and which direct references are involved. Instead of guessing or relying on external documentation, they can make informed decisions in the moment. Dependency handling is also built into the experience. Authors can choose to promote only the selected fragment, include referenced Content Fragments that are missing or changed, or include all eligible references. When the target structure allows, they can also include missing referenced assets. A confirmation step reinforces control. It highlights risks, especially when dependencies are excluded, and ensures that promotions are intentional and complete. In practice, this shifts promotion from a fragmented, multi-step process into a single, guided action within AEM. A workflow fix with operating model impact. This type of extension solves a usability problem and addresses a broader operating model challenge. Authors get a reliable, self-service workflow that maintains momentum. Developers handle fewer repetitive requests that don't require technical expertise. QA teams are removed from the unnecessary handoffs tied to environment-to-environment content movement. For architects and platform owners, it represents a more sustainable pattern, with the workflow becoming a part of the product itself, which is visible, governed, and repeatable. This shift also supports a more mature approach to staged approvals. When stakeholders review content in staging, the final step into production no longer depends on manual coordination. It becomes a natural extension of the authoring lifecycle. More broadly, this reflects a move toward productizing internal workflows. Teams are solving isolated friction points and building systems that scale with the organization. They reduce operational overhead and align with how modern digital platforms are expected to function. If content promotion still depends on tickets, scripts, or informal handoffs, it's often a sign that the workflow needs to evolve. A guided, in-context promotion experience helps teams move faster, reduce coordination overhead, and increase confidence in release readiness. More importantly, it also creates a foundation that can support growth rather than constrain it. If this challenge sounds familiar, it's because it's common. Bounteous has seen it across AEM programs and recognizes the opportunity to turn it into a more durable, author-centered solution. News & insights. Related Perspectives