Operations Manager, AI Enablement

🕒 Julho 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $130.000 - $160.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⚙️ Operações

👻 Score fantasma 4%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Whip Around

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2016

📦 Logística

💼 Consultoria

🚗 Transporte

💰 $14.000.000 Series B em 2021-12

Logistics • Consulting • Transport

Whip Around é um fornecedor abrangente de software de gestão de frotas focado na otimização da manutenção de veículos e equipamentos. Sua plataforma oferece soluções para manutenção de frotas, inspeções, gerenciamento de combustível, conformidade, relatórios e integrações. O Whip Around permite que as empresas gerenciem documentação, acompanhem o uso de combustível em tempo real e garantam a conformidade com padrões de segurança e regulatórios, ajudando a aumentar a eficiência, o desempenho e a lucratividade. A plataforma é adaptada às necessidades de diversos papéis, como motoristas, gestores de frotas, mecânicos e executivos, fornecendo dados e análises em tempo real para aprimorar a tomada de decisões e reduzir o tempo de inatividade.

Descrição

• 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. • Track and report on operational KPIs against targets set with the Director, flagging performance gaps and helping put corrective action in place. • 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. • Help identify and prioritize practical AI use cases tied to clear outcomes - reducing manual effort, improving consistency and saving time or cost. • Take promising experiments through to reliable, repeatable use cases: gathering requirements, validating outputs, supporting rollout, and maintaining, updating and improving the tools once they’re live. • Deliver early, practical “quick wins” in the first few months, then help establish simple routines for monitoring and improving the solutions in use. • Keep live AI tools fed with accurate, current information so they stay reliable and trusted by the people using them. • Map and improve core operational processes, spotting bottlenecks where automation or AI could replace manual administration and sharing recommendations with the Director. • Help maintain and improve core systems (e.g., Salesforce/HubSpot CRM, Jira), and flag integration gaps or usability issues in the tech stack. • Document processes, tools and standard operating procedures so that knowledge is captured, repeatable and easy for the team to follow. • Gather data needs from teams across the business and turn them into clear reports, dashboards and useful insights. • Run regular audits of key business data to ensure accuracy, and work with teams to find and resolve sources of variance. • Help prepare monthly and quarterly analytics for the Director and senior leadership, explaining findings clearly to both technical and non-technical audiences. • Work closely with the Director of Operations and partner with Sales, Customer Success, Finance and Product to keep work coordinated across teams. • Bring structure, timelines and follow-through to operational projects so they stay on track. • Mentor and support junior team members, and provide documentation, support and training for internal users. • Follow and help maintain responsible-use, data privacy and quality controls for AI and automation, so the tools we use stay safe and trustworthy. • Support compliance with applicable data privacy regulations and partner with the Tech team on security where needed. • Flag operational risks early, and perform other duties as assigned to support projects and departmental needs.

🎯 Requisitos

• Bachelor’s degree in Business, Operations Management, Analytics or a related field (or equivalent practical experience). • 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. • At least 1–2 years of hands-on experience designing, building, or deploying generative AI applications using LLMs, agent frameworks, or similar technologies. • **Critical Competencies: ** • ***Agentic Strategy & Delivery *** • Partner with business stakeholders to identify, prioritize, prototype, and implement high-impact AI opportunities across the organization. • Help define and execute the company's AI strategy and implementation roadmap. • Lead AI transformation initiatives • Drive adoption of AI solutions through training, documentation, and continuous improvement based on user feedback. • ***AI Engineering & Operations *** • 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 AI systems: experience auditing, cleansing, and structuring source data from databases before it feeds into an LLM or agent • 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. • Evaluate emerging AI models, tools, and techniques, and recommending pragmatic adoption where they can provide measurable business value. • ***Enterprise Integration *** • 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. • Designing AI workflows that appropriately involve human review and approval for sensitive business processes. • 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*** • Well organized and dependable, with the ability to manage multiple priorities and bring order to ambiguity. • Strong analytical and problem-solving skills, with a genuine interest in finding patterns in data. • Excellent interpersonal and written communication, with the ability to build strong, supportive working relationships. • Able to communicate complex technical concepts clearly to both technical and nontechnical audiences. • High level of integrity, attention to detail and accuracy in work. • Experience with process improvement and project coordination. • A solid working understanding of data, metadata, and data auditing, cleansing, visualization and manipulation. • Comfortable working in a fast-moving, growing environment with a bias toward practical, measurable results. • ***Preferred and Differentiated Competencies*****:** • Experience with enterprise security, governance, privacy, compliance and responsible AI practices. • Experience with modern agent frameworks, orchestration platforms, or AI development SDKs is highly desirable. • AWS, Azure, or GCP experience • Nice to have: Docker and deployment workflows • Git and software engineering best practices • API design and integration • 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. • Previous experience in SaaS, Customer Success, or a technology environment • Experience with vector databases or semantic search technologies.

🏖️ Benefícios

• **Compensation**: $130K - $160K USD, depending upon experience and location • **Unlimited PTO:** Use your paid time off when you need it • **Subsidized Healthcare**: A variety of subsidized medical plans to fit your needs • **Retirement Support:** 401(k) matching to help you invest in your future. • **Family Friendly:** Paid parental leave and caregiver support • **Growth & Development:** Professional development plans and resources to support continuous learning.