Note: The job is a remote job and is open to candidates in USA. Thrive is seeking an AI/Automation Analyst to help embed AI into its go-to-market operations. The role identifies and quantifies high-value opportunities, builds and launches AI agents and workflows, drives adoption across revenue functions, and measures business impact while maintaining appropriate governance.
Responsibilities
- Work across marketing, SDR/BDR, sales, customer success, and revenue operations to map how work actually gets done today: the manual steps, the handoffs, the queues, and the places where reps and managers lose time
- Maintain a living, prioritized inventory of AI and automation opportunities across the GTM funnel, scored on impact, effort, risk, and data readiness
- Pressure-test demand: separate problems that need AI from problems that need a process fix, a field on a record, or a better report
- Bring recommendations forward with a clear thesis: what the problem costs today, what the intervention is, what it will cost, and what changes if we do it
- Pull and analyze the data behind each opportunity: CRM, marketing automation, engagement and sequencing tools, support and CS platforms, product usage, and finance where relevant
- Quantify the baseline before anything is built: volume, cycle time, conversion, cost per unit of work, error and rework rates
- Define the success metric and the measurement method up front, and instrument the workflow so results are observable rather than anecdotal
- Report on adoption and realized impact after launch, and be candid when something is not working
- Design and build AI agents and automated workflows across multiple platforms: CRM-native automation, workflow and integration tools, agent-building platforms, and LLM APIs
- Own the full build cycle: prototype, test against real data, pilot with a small user group, harden, launch, and iterate
- Write and refine prompts, retrieval logic, tool definitions, and guardrails so agents behave reliably in production, not just in a demo
- Handle the plumbing: data flows, integrations, field mapping, deduplication, error handling, and fallbacks to a human when an agent is out of its depth
- Document what you build so it is supportable by someone other than you
- Partner with GTM leaders and frontline teams so what you build gets used: training, enablement materials, office hours, and a feedback loop into the next iteration
- Treat adoption as part of the deliverable. Workflows must be designed, launched, and measured in a way that makes them useful in the field, not just impressive in a demo
- Apply sensible guardrails around data handling, customer-facing output, and human review, particularly anything that touches prospects or customers directly
- Work with IT, security, and legal on tool evaluation, data access, and vendor review
- Track spend across AI tooling and model usage, and keep cost per outcome in view
Skills
- 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: you have shipped AI-enabled workflows, automations, agents, or internal tools that real users adopted, and you can explain what you built, why it mattered, and how you measured impact
- Strong data fluency, including SQL and advanced spreadsheet analysis, with the ability to size an opportunity, define baseline metrics, and build reporting that proves whether the work created value
- Working knowledge of the GTM technology stack, 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 practical guardrails for production use
- 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, with the ability to ask good questions, translate between business needs and technical constraints, and challenge requests when the business case is weak
- Self-directed and outcome-oriented. This role is defined by what you discover, build, launch, and improve, not only by what you are assigned
- You like ambiguous, high-impact problems and can turn them into a practical sequence of work
- You are comfortable challenging assumptions, but you do it constructively and with the goal of creating a better answer
- You care about adoption as much as architecture
- You can move between executive-level business context and detailed workflow design without losing the thread
- You are energized by building the operating model for how AI becomes part of daily GTM execution
- Experience in a B2B services, SaaS, MSP, technology, or complex sales environment
- Familiarity with RAG, vector databases, embeddings, re-ranking, evaluation harnesses, or AI observability tools
- Experience with data warehousing, reverse ETL, BI tooling, or analytics engineering
- Experience supporting sales productivity, sales enablement, forecasting, renewal management, or customer lifecycle workflows
- Prior exposure to AI SDR, conversation intelligence, forecasting, proposal generation, or account planning tools
Company Overview
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