Senior AI & Automation Specialist

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)

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.

Equal Employment Opportunity Statement:

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration:

For the Sr AI & Automation Specialist, we will conduct a background check that may include the following:

• Criminal history check

• Employment verification

• Education verification

Relevance to Job Responsibilities:

The background check is relevant to this position because of the following role responsibilities:

• Working with vulnerable populations

• Accessing confidential company data

• Ensuring compliance with regulatory requirements

Rights Under the Fair Chance Act:

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].