Senior AI & Automation Specialist

Xsolla•Remote USA, CA

4h•$110,000 - $140,000

About The Position

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com.

Requirements

3+ years of experience in technical operations, business intelligence, automation engineering, or a related field
Pragmatic AI/automation mindset — you focus on measurable leverage, not hype
Strong hands-on experience building automation workflows (n8n, Zapier, Make, or custom-built pipelines) with a track record of eliminating manual work at scale
Proficiency in at least one programming language (Python, Node.js/JavaScript, or TypeScript) with ability to write production-quality scripts and integrations
Systems integration experience — connecting multiple enterprise platforms (CRMs, project management, content systems) into unified data flows
Experience designing and building executive dashboards that communicate complex data clearly to leadership audiences
Working knowledge of the Atlassian suite (Jira, Confluence, Atlas) and CRM systems (Salesforce preferred)
Excellent documentation and communication skills
Self-directed and proactive — you identify gaps, propose solutions, and execute without waiting to be told
Understanding of AI limitations — you know when automation is the wrong answer and when human judgment must remain in the loop

Nice To Haves

Experience in the gaming industry or with game publishers/studios
Familiarity with graph databases (Neo4j) and knowledge graph concepts
Experience with AI/ML tools and platforms in an applied business context (e.g., Claude, GPT, LLM-based automation)
Background in NPI (New Product Introduction) frameworks or stage-gate processes
Experience with data visualization tools (Looker, Grafana, Metabase, or custom React dashboards)
Experience deploying applications to cloud platforms (Netlify, Railway, Render, Fly.io, or similar)
Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field (or equivalent practical experience)

Responsibilities

Own the Intelligence and Automation function for GSIP and Web3 PS — design, build, and maintain automated workflows (n8n or similar) for meeting notes processing, trip reports, intake routing, and reporting
Develop and maintain integrations across Salesforce, Jira, Confluence, Atlas, and Neo4j to create a unified intelligence layer
Design and build executive dashboards that surface real-time portfolio health, deal pipelines, partnership progress, and KPIs for leadership across both divisions
Build and maintain Confluence-based intelligence pages — partner profiles, initiative trackers, competitive intelligence, and automated content pipelines
Support the company's operating framework that separates strategic narrative, operational process, and intelligence/automation — building workflows around stage gates, milestone tracking, approvals, and templates
Drive AI adoption across both divisions, identifying opportunities to increase operational efficiency through Claude, Neuronet, and other AI tools
Own the Technical Strategy Roadmap for GSIP and Web3 PS, setting the long-term vision for automation and intelligence infrastructure
Establish cadences for weekly reporting, monthly optimization reviews, and quarterly ROI reporting
Measure and communicate the leverage gained through technology investments
Continuously scout emerging AI capabilities, models, and tools on a weekly cadence. Run rapid experiments and present findings to the team
Conduct regular demo sessions and hands-on training to ensure every team member across both divisions can effectively leverage AI tools. Lead by showing, not telling
Attend key GSIP and Web3 PS meetings and working sessions to deeply understand operational context. Solutions must emerge from firsthand knowledge of how the team works
Once automation is validated, hand off to operations leadership for integration into standard operating workflows. You pioneer; they scale
Establish and maintain AI governance practices — ensuring AI decisions are traceable, compliant, and reversible
Build predictive models for deal outcomes, partnership health, and initiative success. Surface anomalies and patterns before they become problems