
AI/Automation Analyst
Posted Sep 24

Posted Sep 24
This is a fully remote position, open to applicants in United States.
• Identify and prioritize high-value opportunities for AI and automation throughout the GTM funnel.
• Analyze existing workflows, manual processes, handoffs, queues, friction points, and data gaps across marketing, SDR/BDR, sales, customer success, and revenue operations.
• Maintain a scored inventory of opportunities based on impact, effort, risk, and data readiness.
• Examine data from CRM, marketing automation, engagement, sequencing, support, customer success, product usage, and finance.
• Measure baselines, establish success metrics, instrument workflows, and report on adoption and realized impact.
• Design and develop AI agents and automated workflows involving CRM automation, integration tools, agent platforms, and LLM APIs.
• Manage prototyping, testing with real data, piloting, hardening, launching, and iterative improvements of workflows.
• Create prompts, retrieval logic, tool definitions, guardrails, data flows, integrations, field mappings, deduplication, error handling, and human fallbacks.
• Document solutions for ongoing support.
• Promote adoption through training, enablement materials, office hours, and feedback mechanisms.
• Implement guardrails for data handling, customer-facing outputs, and human review.
• Collaborate with IT, security, and legal teams on tool evaluation, data access, and vendor assessments.
• Monitor spending on AI tooling and model usage, as well as cost per outcome.
• Deliver a documented GTM process map, prioritized backlog, and at least one production automation or agent within the first 90 days.
• Develop a measurable portfolio of agents and workflows across various GTM functions and create a repeatable intake-to-launch process.
• 5+ years of experience in revenue operations, sales operations, marketing operations, business systems, data analytics, automation, or applied AI, with significant exposure to GTM workflows.
• Proven ability in building: deployed AI-enabled workflows, automations, agents, or internal tools that are adopted by actual users, with the capability to articulate what was built, its significance, and how impact was assessed.
• Strong data fluency, encompassing SQL and advanced spreadsheet analysis.
• Familiarity with GTM technology stacks, including CRM platforms like 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.
• Background in automation and integration tools such as Zapier, Make, n8n, Workato, Tray.io, native CRM workflows, webhooks, or API-based integrations.
• Comfort with light scripting or technical configuration, preferably in Python or JavaScript, as well as APIs, JSON, data transformation, and troubleshooting across systems.
• Practical understanding of evaluation, testing, monitoring, failure handling, privacy, security, and cost management related to AI-enabled workflows.
• Strong stakeholder management capabilities and proficiency in bridging business needs with technical constraints.
• Self-directed and outcome-focused.
• 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 in 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.
• Comprehensive health and wellness programs.
• Opportunities for professional development and continuous learning.
• Flexible work arrangements to promote work-life balance.
• Collaborative and innovative work environment.
• Competitive salary and performance-based incentives.
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