Innovation & Ops Analyst - Customer Success
About The Position
Axya is an AI-powered procurement platform for engineering-to-order manufacturers, helping them run faster, more reliable procurement through workflow-native software and an agentic AI layer. The company recently closed its Series A and is focused on scaling its operating capabilities, with Customer Success at the core. This role is a new position within the CS team, reporting to the VP of CS. The primary focus is to build and manage the data, automation, and AI workflow infrastructure that empowers the CS team to deliver measurable outcomes and translate customer observations into actionable business insights. This is a hands-on builder role, not a passive analyst position, designed to create scalable systems for the team.
Requirements
- Hands-on experience building AI/LLM workflows in production, including prompt design, n8n or equivalent, agentic patterns, and structured output pipelines.
- Strong business acumen with the ability to identify key data points and translate them into actionable recommendations for executives.
- Comfort with SQL, Metabase or similar BI tools, and JSON/API work.
- 3-5+ years of relevant experience (data analytics, engineering, ops engineering, RevOps, founding-team builder roles, AI workflow building, supply chain operations/analyst, consulting).
- Working proficiency in English.
- Strong written communication skills, capable of producing concise insight memos for executives.
Nice To Haves
- Domain knowledge in manufacturing, supply chain, or procurement, or the ability to quickly learn a vertical.
- Experience in B2B SaaS Customer Success, RevOps, or analytics functions.
- Familiarity with modern AI tooling stacks: Claude/GPT APIs, embeddings, vector search, eval frameworks.
- Basic proficiency in Python/JavaScript/SQL for scripting when no-code solutions are insufficient.
- French language skills.
Responsibilities
- Design and implement automated workflows using tools like n8n, LLMs, and internal tooling to reduce manual work for the CS team.
- Build LLM-powered insight pipelines for customer health summaries, QBR preparation, churn-risk alerts, and expansion signals.
- Continuously identify and automate new workflows, measuring the time saved by each implementation.
- Own the customer health scoring infrastructure, including defining inputs, building data pipelines, and surfacing relevant signals.
- Conduct automated analysis of key metrics such as PO volume, supplier onboarding, buyer activity, and deployment KPIs to identify deviations early.
- Develop and maintain renewal and expansion forecasting infrastructure in collaboration with the VP of CS.
- Generate QBR materials and ROI reports at scale using tools like Metabase, n8n, and LLM pipelines.
- Standardize the reporting layer to ensure CSMs have consistent, data-driven information for customer reviews.
- Translate customer observations into business-impact recommendations regarding expansion opportunities, churn risks, and product gaps.
- Present insights to the VP of CS, CS team, Product, and executive team, with a focus on driving measurable impact.
Benefits
- Direct line to the VP of CS and visibility into the executive team.
- Work on AI as core infrastructure.
- Remote-friendly environment.
- Async-respectful culture with low meetings.
- Focus on output over hours.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
