Job Description
ABOUT US
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.
Responsibilities
This is a hands-on builder role from day one. You will write code, build pipelines, and ship automation every week. This is not a strategy-only position.
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
Sample Success Metrics
Automation coverage percentage — share of cross-divisional workflows with automation vs. manual execution
Manual effort reduction — measurable hours saved per week/month through automation
Cycle time compression — faster turnaround on reporting, meeting notes, intake processing, and partner intelligence
Leverage ROI — demonstrable return on technology investments relative to time and cost invested
Dashboard adoption — percentage of leadership actively using intelligence dashboards for decision-making
AI-assisted quality improvement — reduction in errors, rework, and inconsistencies through automated validation
This Role is NOT
A tool collector — adopting every shiny new AI tool without measuring impact
IT support — this is a strategic builder role, not a help desk
A disconnected experiment lab — you must be embedded in the team’s daily reality
A process designer — operations leaders own workflow design; you automate within their frameworks
A pure data science role — you build production systems that deliver daily value, not research models
Disqualifiers: “AI will solve everything” mentality, tool-first thinking without business context, inability to measure impact quantitatively.
What a Great Week Looks Like
Monday: Scout 3 new AI capabilities released that week
Tuesday: Demo a prototype automation to the team
Wednesday: Ship an integration that eliminates 2 hours of manual work
Thursday: Present a dashboard insight that changes a leadership decision
Friday: Hand off a validated automation to operations leadership for scaling
Qualifications & Skills
Required Qualifications
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
Preferred Qualifications
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)
$110,000 - $140,000 a year
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
