Whiparound
Operations Manager, AI Enablement
United States
Sponsorship not specified$130k-$160kDetected 1 day ago
PythonGitSQLPostgreSQLVector DatabasesAWSGCPAzureDockerAPI DevelopmentData EngineeringLLMsAI OrchestrationAccessibilityJiraHubSpotSalesforceCRMAuditingOperations ManagementProcess ImprovementCustomer SuccessLeadershipCommunication
About the role
- Whip Around was born in 2016, originally to help freight companies in New Zealand tackle their paper-based compliance burden.
- It was while working for some of the globe's largest freight companies that co-founder James saw first-hand how much time paper was costing fleet managers every day.
- Within a year the US market was calling loudly, and founders Tim and James were spending more time traversing the American market than anywhere else.
Responsibilities
- Manage day-to-day operations within your area, supporting the Director of Operations to keep workflows, resources and projects on track and aligned to team goals.
- Help manage operational budgets and tools, keeping an eye on spend and making sure we get good value from our systems and vendors.
- Support the rollout and adoption of AI and automation tools across the team, providing the guides, training and hands-on help people need to use them confidently.
Requirements
- 5+ years of experience in software engineering, business systems, data engineering, business operations, or a related technical field, including experience delivering production automation or AI solutions.
- Experience designing context-aware AI systems using retrieval, structured business data, memory, and tool access.
- Familiarity with data validation frameworks or QA checkpoints to catch bad or incomplete data before it reaches a production AI workflow
- Experience balancing model capability, latency, and cost for production AI applications.
- Strong working proficiency in Python, SQL (Microsoft SQL Server and/or PostgreSQL), and SOQL.
- Hands-on experience getting AI or automation use cases into real-world use, with examples of the value they delivered.
- Experience integrating AI solutions into Salesforce using APIs, Flows, Apex, platform events, and standard automation tools while respecting Salesforce security and permission models.
- Experience integrating AI systems with enterprise applications, databases, APIs, and business workflows.
- Experience with OpenAI, Anthropic, Google Gemini, or Azure AI services Professional Skills
Nice to have
- Docker and deployment workflows
- Git and software engineering best practices
- Data engineering, ETL/ELT, API integrations, and workflow automation
- CRM data modeling and governance
- Knowledge of Salesforce Flows, Apex and Lightning Web Components
- Comfortable working with structured business data using SQL, spreadsheets, or BI tools.
- Experience with CRM and project tooling - Salesforce and/or HubSpot, and Jira/Confluence.
- Certifications such as Six Sigma, Lean, or an AI/automation credential are a plus.
Skills
- Help define and execute the company's AI strategy and implementation roadmap.
- Lead AI transformation initiatives
- Experience deploying production AI applications
- Prompt engineering and agent orchestration
- Designing evaluation frameworks and benchmarks for AI systems, including automated and human-in-the-loop testing
- Model evaluation and performance monitoring
- AI observability and quality assurance
- Managing hallucination risk and response accuracy
- Prompt optimization and, where appropriate, model fine-tuning, and guardrails and data quality and governance for
Compensation
- $130k-$160k
Benefits
- Use your paid time off when you need it
- Paid parental leave and caregiver support
- Even if you don't meet every single requirement, we encourage you to apply - Whip Around is a place for learning, growth and building what's next.
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This listing is sourced directly from Whiparound's careers page and normalized into a canonical job model.