New York, NY
AI platform for detecting manufacturing product quality issues
Axion builds an AI-powered platform that analyzes customer, service, field, and telematics data to detect emerging product issues early. It serves enterprise manufacturers in automotive, aerospace, medtech, and consumer goods, enabling faster fixes and better products. This reduces field failures and accelerates continuous improvement.
Researches and engages enterprise prospects through phone, email, and LinkedIn outreach, qualifying leads and building pipeline in partnership with Account Executives. Requires 1–2 years of enterprise SaaS business development or sales experience and comfort engaging senior stakeholders.
Senior individual contributor architecting and scaling agentic LLM systems that turn messy manufacturing data into reliable root-cause insights. Owns orchestration, retrieval, evaluation, and guardrails for non-deterministic production systems.
Senior HRBP to build foundational people programs, coach leaders across Product/Engineering/GTM, and establish performance, feedback, and management systems for a scaling AI startup.
As a Senior Infrastructure Engineer, you will design, implement, and maintain cloud infrastructure on GCP, focusing on CI/CD pipelines, Kubernetes, and Terraform. This role requires a strong background in DevOps/SRE and a passion for building foundational systems in a fast-paced environment.
Lead and scale post-sale customer experience at an AI manufacturing platform. Own strategic enterprise accounts while building a high-performing CS team and defining CS processes.
Owns senior customer relationships, drives renewals, expansions, and revenue growth for AI manufacturing platform accounts. Leads pilot-to-production transitions and cross-functional orchestration with 4-8+ years in account management or customer success.
Leads end-to-end delivery of AI solutions for manufacturing customers, architecting implementations, driving adoption and value realization, coordinating teams, and managing margins. Requires 4-8+ years in solutions consulting or technical delivery with AI/ML/SaaS experience preferred.
Forward Deployed Engineer owns technical workstreams for AI implementations in manufacturing, drives customer activation and value delivery, leads demos and user sessions across multiple accounts. Requires 2+ years in enterprise software implementation or consulting with strong technical and client-facing skills.
Leads development of core platform, workflows, and integrations for AI-powered manufacturing quality platform. Owns end-to-end data processes from ingestion to insights, builds roadmaps integrating customer feedback and strategic initiatives, with 5+ years B2B SaaS product management experience.
Leads customer success post-onboarding for enterprise manufacturing clients, monitoring platform usage, driving adoption, resolving issues, and identifying expansion opportunities. Requires 2-4 years in customer success or solutions with strong data fluency and SaaS experience.