AI/Automation Analyst

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

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Thrive

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🔒 Cybersecurity

💼 Consulting

Cybersecurity • Consulting

Thrive is a B2B technology services firm that provides managed IT, cloud, and cybersecurity solutions for mid-market and enterprise clients. Its offerings include managed detection and response (MDR), EDR/NDR, vulnerability management, autonomous penetration testing, patching, managed firewalls, dark web monitoring, email/DNS security, security awareness training, incident response and remediation, and specialized security for Microsoft 365 and Azure. Thrive also delivers managed cloud services, disaster recovery, colocation, ServiceNow-based ITSM (TransformIT), managed network services, vCISO/vCIO advisory, and compliance support for standards such as HIPAA, GLBA, CMMC, GDPR and others. The company targets industries including financial services, healthcare, government, education, life sciences, and professional services, positioning itself as a consultancy and managed services provider that combines security, cloud, and digital transformation capabilities.

📋 Description

• Identify and prioritize high-value AI and automation opportunities across the GTM funnel. • Map current workflows, manual steps, handoffs, queues, friction points, and data gaps across marketing, SDR/BDR, sales, customer success, and revenue operations. • Maintain an opportunity inventory scored by impact, effort, risk, and data readiness. • Analyze CRM, marketing automation, engagement, sequencing, support, customer success, product usage, and finance data. • Quantify baselines, define success metrics, instrument workflows, and report adoption and realized impact. • Design and build AI agents and automated workflows across CRM automation, integration tools, agent platforms, and LLM APIs. • Own prototyping, testing with real data, piloting, hardening, launching, and iterating workflows. • Develop prompts, retrieval logic, tool definitions, guardrails, data flows, integrations, field mappings, deduplication, error handling, and human fallbacks. • Document solutions for ongoing support. • Drive adoption through training, enablement materials, office hours, and feedback loops. • Apply guardrails for data handling, customer-facing output, and human review. • Partner with IT, security, and legal on tool evaluation, data access, and vendor review. • Track AI tooling and model usage spend and cost per outcome. • Deliver a documented GTM process map, prioritized backlog, and at least one production automation or agent within the first 90 days. • Build a measured portfolio of agents and workflows across multiple GTM functions and establish a repeatable intake-to-launch process.

🎯 Requirements

• 5+ years in revenue operations, sales operations, marketing operations, business systems, data analytics, automation, or applied AI, with strong exposure to GTM workflows. • Demonstrated hands-on building: shipped AI-enabled workflows, automations, agents, or internal tools adopted by real users, with ability to explain what was built, why it mattered, and how impact was measured. • Strong data fluency, including SQL and advanced spreadsheet analysis. • Working knowledge of GTM technology stacks, including CRM platforms such as Salesforce or HubSpot, marketing automation, sales engagement, conversation intelligence, customer success, support, and reporting tools. • Experience with LLM APIs, agent-building platforms, prompt design, structured outputs, retrieval or knowledge grounding, tool/function calling, and production guardrails. • Experience with automation and integration tooling such as Zapier, Make, n8n, Workato, Tray.io, native CRM flows, webhooks, or API-based integrations. • Comfort with light scripting or technical configuration, preferably Python or JavaScript, APIs, JSON, data transformation, and troubleshooting across systems. • Practical understanding of evaluation, testing, monitoring, failure handling, privacy, security, and cost management for AI-enabled workflows. • Strong stakeholder management skills and ability to translate between business needs and technical constraints. • Self-directed and outcome-oriented. • Nice to have: experience in B2B services, SaaS, MSP, technology, or complex sales environments. • Nice to have: familiarity with RAG, vector databases, embeddings, re-ranking, evaluation harnesses, or AI observability tools. • Nice to have: experience with data warehousing, reverse ETL, BI tooling, or analytics engineering. • Nice to have: experience supporting sales productivity, sales enablement, forecasting, renewal management, or customer lifecycle workflows. • Nice to have: prior exposure to AI SDR, conversation intelligence, forecasting, proposal generation, or account planning tools.