Predictive Insights Specialist

Autodesk•Atlanta, MI

1d•Remote

About The Position

We are building a flexible, high-leverage team responsible for detecting customer issues earlier and enabling the organization to act before they escalate. As a Predictive Insights Specialist, you will: Synthesize signals across systems that are currently analyzed in isolation — connecting support data, telemetry, community signals, and field observations into a unified intelligence picture Identify emerging issues and systemic risk before they become visible through case volume or escalation Build scalable intelligence capabilities that improve proactive support across the organization This team operates as a horizontal intelligence layer within the Predictive Support pillar, partnering closely with Diagnostics, Customer Reliability, and Technical Account Management (TAM) to improve how the organization anticipates and responds to customer needs.

Requirements

Strong analytical thinker who can move from data → insight → action with minimal guidance
Active interest in using AI to extend capabilities beyond traditional role boundaries
Comfortable working across data, systems, and ambiguous problem spaces
Demonstrated ability to build, prototype, or create solutions — not just analyze and report
Experience building analytical tools, pipelines, or automations
High ownership mindset — identifies important problems and drives them to measurable outcomes
Learns quickly, adapts, and operates effectively in a collaborative, fast-moving environment without rigid structure

Nice To Haves

Experience working across multiple data sources (e.g., support data, CER, KB, forums, telemetry, customer signals)
Proficiency in SQL and at least one scripting or programming language (Python preferred)
Familiarity with AI-assisted workflows or development

Responsibilities

Detect emerging issues early
Identify patterns across support data, telemetry, knowledge base usage, and TAM signals — surfacing issues before they become visible through any single source
Use AI to accelerate analysis, automate detection, and build lightweight systems and prototypes
Turn signals into understanding
Translate cross-system data into clear, actionable intelligence that defines what is happening, why it matters, and what should be done
Build scalable capabilities
Create repeatable systems for detection, classification, and monitoring — replacing recurring manual analysis
Enable cross-pillar outcomes
Develop intelligence that enables Customer Reliability teams to act on emerging issues, TAM to guide customers proactively, and Diagnostics to investigate root causes faster
Contribute to system-level solutions
Help design and evolve systems (e.g., CIRCL, Support MCP) that connect customer signals with product and support workflows at scale