Axion Ray helps manufacturers detect, investigate, and resolve product quality issues earlier by applying AI to operational and customer-facing data. The platform ingests structured and unstructured…
AICustomer SatisfactionDowntime ReductionManufacturingObservabilityPredictiveQualityRoot Cause Analysisaxionray.com
Axion Ray
Axion Ray helps manufacturers detect, investigate, and resolve product quality issues earlier by applying AI to operational and customer-facing data. The platform ingests structured and unstructured…
AICustomer SatisfactionDowntime ReductionManufacturingObservabilityPredictiveQualityRoot Cause Analysisaxionray.com
HQNew York City, US
Team Size421
Open Jobs2
Total Funding$62M
Latest Fundraise6 months ago
TL;DR
Product: AI-powered integrity intelligence platform for manufacturing quality and reliability
Founded: 2021
Headquarters / Offices: Delaware (legal); offices in New York, London, Bengaluru
Notable funding: Seed $7.5M (Feb 2023); Series A $17.5M (Mar 2024)
Use cases: Early detection, root-cause investigation, and monitoring of safety, warranty, recall, and reliability issues
Company Overview
Problem Domain
Manufacturing quality, safety, warranty, recall prevention, and reliability analytics
Founded
2021
Industry
Software Development
Funding Track Record
Seed- 2023-02-15
7,500,000
Seed announced Feb 15, 2023
Series A- 2024-03-12
17,500,000
Series A announced Mar 12, 2024
Investor Signal
“Bessemer Venture Partners led Series A; participation from corporate venture arms (e.g., RTX Ventures) and other institutional investors”
Founders
What we do
Join the Team
Quality Insights Lead
On-SiteUSA {{REMOTE}}, FR
On-Site • USA {{REMOTE}}, FR
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Axion Ray is looking for a Quality Insights Lead to join our Solutions team and help drive long-term customer value, retention, and expansion
This is an exciting opportunity to be deeply embedded in the customer journey, supporting enterprise clients post-onboarding and ensuring continued success through adoption, value delivery, and growth
Serve as the primary point of contact for customers following initial onboarding and deployment
Deliver ongoing program updates and operational check-ins to key customer stakeholders
Proactively monitor account health and platform usage to drive adoption and value realization
Support customer issue resolution, including preparation, live syncs, and post-meeting follow-ups
Partner with Sales, Product, and Engineering to deliver a seamless customer experience across touchpoints
Translate customer goals into platform configurations, success plans, and measurable outcomes
Identify expansion opportunities and partner with Sales on renewal and upsell efforts
Benefits
Startup jobs. A lot of them.
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Employee stock option program
Health Savings Account (HSA)
Unlimited paid time off (PTO)
Relocation support
Commuter benefits
Comprehensive healthcare coverage (100% of employee premiums covered and 70% for dependents)
12 weeks of paid parental leave (birthing parents)
Daily lunch credit when you’re in the office (around $20/day)
401(k) plan with optional supplemental life, disability, and more- The ideal candidate is a hybrid technical and client-facing professional who can effectively communicate across business, product, and engineering stakeholders
Strong data fluency; ability to interpret operational data, generate insights, and inform decision-making
Experience managing and configuring SaaS platforms to support customer onboarding, optimize workflows, and ensure successful solution delivery
2-4 years of experience in customer success, solutions, consulting, or technical project delivery
Strong written and verbal communication skills; comfortable leading customer-facing conversations
Detail-oriented and organized; able to manage multiple workstreams across internal and external stakeholders
Ability to drive projects forward within a PMO or structured project delivery environment
Passion for AI, enterprise software, or manufacturing technology
Experience in a hybrid technical + business-facing role (e.g., solutions engineer, technical CSM, implementation specialist)
Background in consulting, analytics, or systems integration is a plus
Prior experience supporting enterprise clients or highly regulated industries
Exposure to data tools or platforms (e.g., Looker, Tableau, Snowflake, Postgres)
A builder mindset with comfort in low-structure environments
