AI Developer - Salesforce Admin

The Opportunity

Join Sitetracker's Operations team and play a pivotal role in shaping our AI-first future, directly enabling our customer-facing teams across the business. This is a unique opportunity to build, test, and deploy AI agents and automations from the ground up, replacing manual processes and dramatically increasing the velocity and efficiency of critical business functions. You'll be at the forefront of structuring our team around cutting-edge AI, not just layering it on top, seeing the direct business impact of every solution you create.

What You'll Do

As an Operations Associate - AI Developer, you will step into a brand-new role designed to leverage your expertise with leading AI tools like Claude, Agentforce, Cursor,, and Gemini, alongside agent frameworks, to construct intelligent automations that live inside and interact with Salesforce. This includes building Salesforce Flows, Apex backed automations, LWC components, and AI powered actions that read and write to Salesforce objects, surfacing insights, triggering workflows, and eliminating manual work across our Customer Experience organization.

This role operates on an afternoon shift to ensure meaningful overlap with the US-based Director of Operations and the broader Customer Experience team. For candidates based in India, this means approximately 2:00 PM – 10:00 PM IST (aligned to GMT). The majority of design document handoffs, build reviews, and quality gate discussions happen during the overlap window with EST time.

You will receive clear, structured design requirements and user stories from the Director of Operations and independently translate these briefs into fully functional AI agents, automations, and skills. This role is part of a dynamic, shared builder pool, requiring you to demonstrate cross-domain capability, seamlessly executing builds across both process automation and Salesforce systems domains to deliver high-impact solutions for our global operations.

You will execute a complete build cycle for every assignment: read and clarify the design document and user stories before starting, build independently, self-test against defined acceptance criteria, and submit a fully documented build — including test data and expected outputs — for quality review. Builds that pass the quality gate go to production. Builds that do not come back with a clear failure report, and you address them before

The Skills You'll Have

AI Tool Fluency & Agent Building

Build multiple AI-assisted automations or agents in a professional contextDescribe your design-to-build process, including how you test outputs and articulate end-user interactionWrite or review effective prompt engineering logic, explaining how specific structures optimize outputsDefine and execute AI agent quality testing, including regression checks and documenting expected vs. actual outputsDeploy AI agents or automations in a production environment, defining scope, writing prompts, validating outputs, and documenting for handoff.

Salesforce Administration, Configuration & Development

Configure complex Salesforce Flows, validation rules, or automation in a professional contextUnderstand Salesforce object relationships, APIs, and data managementRead and interpret basic Apex or SOQL to understand existing code or automationBuild Salesforce automations that connect to external systems or trigger cross-object workflowsTroubleshoot complex configuration/code issues, manage permissions, and build multi-step conditional automations (declarative or programmatic)

Build Execution & Independent Build Delivery

Translate structured written designs and user stories into working builds with minimal iterationSelf-test builds against acceptance criteria before submissionSubmit complete, well-documented builds with test data and expected outputs for QA reviewDefine your own testing protocol for builds, including inputs, expected outcomes, and pass/fail criteriaDeliver technical builds or configurations from written designs with a high first-pass acceptance rate, consistently describing your testing and documentation process

Curiosity, Learning Agility & AI Tool Adoption

Demonstrate active engagement with AI tools through built projects, published work, or professional applicationProactively learn new AI tools or frameworks outside of formal training programsIntroduce new AI tools or approaches to a team or project, describing the resulting impactMaintain a documented project history showcasing progressive AI and automation skill developmentActively track developments in the AI and automation space, building personal projects or contributing to open-source AI automation, and articulating trade-offs between different AI tools

Within 90 Days, You'll

Successfully build, test, and deploy at least 3 production AI agents or automations that actively reduce manual effort for Operations or a customer-facing function, with measurable outputDemonstrate cross-domain capability by executing builds across both process automation and Salesforce systems domains, requiring minimal design requirement clarificationComplete all initial builds through the quality gate process, submitting well-documented work with test data and addressing all failure reports

Within 180 Days, You'll

Proactively identify opportunities to improve existing agents, contributing ideas for enhanced performance and user experienceTake full ownership of your build pipeline, managing priorities and delivering completed agents with minimal daily oversight, regardless of remote or timezone differencesDeepen your understanding of the operational processes you are automating, actively contributing to user story and test case achievement for newly operationalized processes

Within 365 Days, You'll

Become a key contributor to our growing AI automation strategy, influencing best practices and introducing innovative approaches to agent developmentDrive significant, measurable increases in velocity and efficiency for supported business functions through a robust portfolio of deployed AI agents and automationsChart a clear growth path towards a QA Analyst or senior builder role, demonstrating expertise in AI agent quality testing, design, and full-lifecycle deployment

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.