About the team
US Tax Operations resolves tax notices that clients receive from the IRS and state agencies, and runs the filings and payments work that prevents those notices in the first place. The team includes a notice-resolution organization of roughly 50 specialists across 7 managers and 2 pillar leads, and a filings, payments, and amendments organization of 4 teams under a third pillar lead.
About the role
US Tax Operations has been given broad access to AI tooling, including Rippling's own AI platform, to speed up how the department builds and automates its workflows. Without a dedicated technical owner, that access has produced a lot of partially built tools with no reliable way to verify whether they work or are accurate. We're hiring a Systems Lead to bring real engineering discipline to this effort: evaluating what's been built, fixing or replacing what doesn't hold up, and owning the systems and data infrastructure the department runs on going forward.
What you'll do
• Own the technical systems and data infrastructure behind US Tax Operations reporting, automation,



and workflow tools.
• Evaluate the AI-assisted and automated tools currently being built informally across the team, and decide what's accurate and durable versus what needs to be rebuilt.
• Build dashboards, data pipelines, and reporting that give managers and leadership reliable, self-service visibility into volume, performance, and quality.
• Partner directly with managers to find where automation and AI tooling can reduce manual work, and build well-governed solutions instead of one-off scripts.
• Bring technical standards and review discipline to an organization that hasn't had a dedicated technical owner before.

What we're looking for
• Hands-on proficiency in Python and SQL, with experience on a contemporary data platform such as Snowflake or Databricks.
• Experience building dashboards and reporting with a BI tool such as Power BI or equivalent.
• Comfortable evaluating and working with AI-

📌 Systems Lead, US Tax Operations (India)
🏢 Rippling
📍 India