AI/Automation Analyst

Thrive

. Identify and prioritize high-value AI and automation opportunities across the GTM funnel.

Posted 9/24/2026full-timeRemote • United StatesMid-LevelSenior💰 $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in identifying and prioritizing AI and automation opportunities across the GTM funnel, with strong capabilities in data analysis, workflow design, and stakeholder management. Proficient in building and implementing AI-enabled workflows and automations, ensuring measurable impact and user adoption.

Highest-signal resume keywords

AI-Enabled Workflow DevelopmentData Analysis and SQL ProficiencyGTM Technology Stack KnowledgeAutomation and Integration ToolingStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisAI Workflow AutomationLight Scripting (Python, JavaScript)API IntegrationPrompt DesignData TransformationCRM Platforms (Salesforce, HubSpot)Automation Tools (Zapier, Make, n8n)Analytics Engineering

Soft Skills

Stakeholder ManagementSelf-DirectedOutcome-Oriented

Tools & Technologies

CRM PlatformsMarketing Automation ToolsAgent-Building PlatformsLLM APIsConversation Intelligence ToolsData WarehousingBI Tooling

Industry Keywords

Revenue OperationsSales OperationsMarketing OperationsB2B ServicesSaaSComplex Sales Environments

Tech Stack

Tools & technologies

ETLJavaScriptPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.