Senior Product Manager - Intercompany Agentic AI

About the role

BlackLine is looking for a Senior Product Manager in Bengaluru to drive its intercompany product strategy across agentic financial operations, from creation, matching and settlement to eliminations and the transfer-pricing and compliance landscape. The role partners with Engineering, Design and GTM to run the roadmap, contributes to an agent-first approach and works directly with customers to turn their feedback into product decisions. It suits a product manager with 5-8 years of experience.

Key responsibilities

• Own the roadmap for a defined slice of intercompany within agentic financial operations, covering creation, matching, netting and settlement, eliminations and the transfer-pricing/compliance context, and turn customer and market insight into prioritized roadmap input.
• Contribute to the agent-first direction for intercompany predictive risk scoring, including confidence thresholds and human-in-the-loop controls, and build responsible-AI guardrails into the workflows owned.
• Lead execution with Engineering, Design and GTM, own delivery timelines and dependencies, and flag risks early.
• Define success criteria, bring data-driven inputs such as business cases, ROI analysis and quarterly planning input to prioritization discussions with staff and director-level PMs.
• Engage intercompany design partners and early-access customers, converting feedback into roadmap decisions and rollout proof points.
• Identify and drive process improvements within the product area.

Required profile

• 5-8 years in product management or a related role, owning initiatives end-to-end with measurable outcomes (adoption, retention, revenue).
• Works independently with minimal oversight, presents to internal stakeholders and customers, and may mentor junior team members or interns.
• Bachelor's degree in Business, Marketing, Computer Science or a related field, or equivalent experience; exposure to accounting or finance is an advantage.

Required skills

• Experience with AI/ML or data-powered features in production, ideally agentic, automation, matching or intelligent-workflow products.
• Working knowledge of modern AI (LLMs, agents, confidence scoring, human-in-the-loop design, model evaluation, responsible AI).
• Proficiency with product management and AI tools such as Jira, Jira Product Discovery, Claude, Gemini, Figma and Pendo.
• Solid understanding of enterprise SaaS and the R2R close process, familiarity with SAP, Oracle, Workday and NetSuite, and working knowledge of intercompany accounting (matching, netting, settlement, eliminations, transfer pricing).