Senior Producer, Marketing AI – Automation

Role Overview

• Own the production pipeline for Xsolla Mall's co-branded page model — the operational infrastructure that allows new page configurations combining games, payment partners, creators, and brands to be built, QA'd, and launched at increasing volume as the partner ecosystem grows.
• Develop and maintain templating frameworks, build workflows, and launch coordination processes that bring consistency and repeatability to page production without requiring bespoke effort for every new configuration.
• Work closely with the Senior Manager, Xsolla Mall Marketing to ensure the production pipeline reflects current campaign and partner priorities, and that page launches are coordinated with marketing programming.
• Partner with the Content & Marketplace Operations Manager (Ops) to ensure operational execution on Mall surfaces is integrated with — not siloed from — the broader production architecture.
• Identify where page production bottlenecks exist and design automated or semi-automated solutions that remove them.
• Map marketing workflows across XPN, Lightstream, and Mall — identifying where automation can improve speed, consistency, and throughput.
• Design, build, and maintain automated workflows that reduce manual effort on repeatable tasks: campaign intake and routing, content scheduling, performance alerts, reporting, and cross-functional notifications.
• Partner with the Director of Marketing to surface friction points in the team's operating model and build the automation infrastructure that resolves them — ensuring that process improvements compound over time rather than requiring constant re-invention.
• Work alongside the XPN Operations & AI Lead to ensure that automation built for marketing is coherent with the broader operational infrastructure across the Partner Network, and that shared tools and workflows are leveraged rather than duplicated.
• Maintain clear documentation of all active automations — what they do, what systems they connect, and how they are monitored — so the team can rely on them with confidence.
• Support the measurement infrastructure that tracks the marketing team's contribution to Xsolla's performance framework — the output-based metrics that connect marketing activity to business outcomes across XPN, Lightstream, and Mall.
• Automate the data flows that feed marketing performance reporting — reducing the manual effort required to produce accurate, timely dashboards for the VP of Marketing, Marketing Director, and Finance stakeholders.
• Partner with the BI and Data teams to ensure marketing outputs are correctly captured and attributed across systems including Jira, Braze and relevant analytics platforms.
• Build alert systems and monitoring tools that surface performance anomalies early — so the team can respond to signals rather than react to results after the fact.
• Ensure reporting outputs are clear, auditable, and accessible to stakeholders who need to interrogate the data without requiring a manual walkthrough each time.
• Serve as the marketing team's primary advocate and practitioner for AI tooling — staying current on what is available, evaluating fit for the team's specific needs, and driving adoption of tools that deliver genuine operational value.
• Evaluate and recommend AI platforms and integrations across the marketing stack — assessing capability, integration complexity, and cost before committing to new tooling.
• Build practical enablement for the team: workflow templates, prompt frameworks, and working examples that raise AI fluency across functions without requiring deep technical expertise from every team member.
• Leverage Xsolla's internal AI capabilities — including platform integrations across Atlassian, Slack, and other operational tools — to ensure Marketing is making full use of infrastructure already available.

Requirements

• 7–10 years of experience in marketing operations, marketing technology, or a closely related field — with hands-on accountability for building and maintaining automation systems in a marketing or platform context.
• Demonstrated experience designing and deploying automated workflows that run reliably in production — not just prototypes or experiments, but systems the team depends on day-to-day.
• Proficiency with AI and automation tooling (including LLM-based platforms and workflow orchestration tools such as n8n or equivalent) — able to move from identifying an opportunity to building a working solution independently.
• Strong analytical capability: comfortable working with marketing performance data, partnering with BI teams on reporting infrastructure, and identifying when data quality or attribution logic is wrong before it reaches stakeholders.
• Strategic thinking alongside craft excellence — able to contribute a point of view on how the marketing function should evolve operationally, not just execute within the system as it exists.
• Able to operate with genuine autonomy: identifying the highest-leverage problems without being directed to them, and building solutions with enough documentation and discipline that they outlast your direct involvement.
• Clear communicator across technical and non-technical audiences — able to explain automation decisions and performance frameworks to the VP of Marketing, Finance, and cross-functional partners without requiring a technical background to follow.
• Experience with Jira at an administrative or automation level — workflow rules, tagging systems, dashboard configuration, and API integrations.
• Familiarity with marketing CRM platforms (Braze, Mailchimp, or equivalent) at the integration and data model level rather than just as an end user.
• Background in gaming, SaaS, or platform marketing environments — an understanding of creator ecosystem dynamics or subscription-based product marketing is a genuine asset, though not a requirement.
• Experience with BI or analytics tooling (Looker, NeoDash, or similar) sufficient to collaborate on data model design and validate that ingestion logic is producing accurate outputs.
• Track record of raising AI or automation fluency across a non-technical marketing team through practical enablement rather than theory.
• Exposure to multi-agent or orchestrated automation patterns — where discrete automated steps hand off between each other rather than a single workflow handling everything end-to-end.

Tech Stack

• React