Note: The job is a remote job and is open to candidates in USA. BlackLine is a finance automation technology company building an AI-native platform for autonomous financial operations. The Staff Product Manager will own the intercompany product strategy, guiding transaction matching, netting, settlement, eliminations, compliance, and agentic AI workflows while coordinating cross-functional execution, customer engagement, investment planning, and product excellence.
Responsibilities
- Support the strategy and roadmap for intercompany within agentic financial operations — continuous matching, netting and settlement, eliminations, and the transfer-pricing and compliance context (including Pillar Two's global minimum-tax rules, which raise the bar for intercompany transaction data and documentation) that surrounds them. Translate customer and market insight into a roadmap that moves customers from period-end reconciliation to an intercompany-led close, aligned to company OKRs and product KPIs
- Set the agent-first direction for intercompany: probabilistic and “fuzzy” matching that resolves cases rule-based systems can’t, predictive risk scoring that flags disputes before they occur, and the confidence thresholds, policies, and human-in-the-loop controls that govern when a person steps in. Ensure responsible-AI guardrails — attributable, bounded, auditable agent actions — are built into every workflow
- Drive execution across multiple cross-functional teams — Engineering, Design, Data Science, and GTM. Maintain and align roadmaps, manage delivery and dependencies, mitigate risk, and ensure smooth, on-time delivery
- Define and measure success criteria for product initiatives. Contribute to business planning and investment decisions with data-driven business cases, ROI analysis, and quarterly planning inputs. Influence prioritization across departments and with senior stakeholders
- Engage intercompany design partners and early-access customers — gather feedback on agentic capabilities, translate insights into the roadmap, and use outcomes as proof points for broader rollout
- Champion process improvements and operational excellence across the product lifecycle. Mentor emerging PMs, share domain knowledge, and raise the bar for product craft across the team
Skills
- 8–12+ years in product management or a related role, with a track record of leading complex product initiatives end-to-end and delivering measurable outcomes (adoption, retention, revenue)
- Proven ability to mentor other product managers — sharing craft, guiding decisions, and serving as a go-to expert on hard product problems
- Ability to influence across departments and with senior stakeholders, and to represent the product externally with customers and partners
- Demonstrated experience shipping AI/ML- or data-powered features in production — ideally agentic, automation, matching, or intelligent-workflow products
- Solid working knowledge of modern AI — LLMs, agents, confidence scoring, human-in-the-loop design, model evaluation, and responsible AI — enough to set direction and make sound trade-offs. Sound judgment on where automation is trustworthy vs. where a human must stay in the loop
- Proficiency with product management and AI tools (e.g., Jira, Jira Product Discovery, Claude, Gemini, Figma, Pendo) across the development lifecycle
- Strong understanding of enterprise SaaS and the R2R close process — how intercompany connects to reconciliations, journals, matching, consolidation, and control/task management. Working fluency with the ERP landscape (SAP, Oracle, Workday, NetSuite), sub-ledger vs. GL structures, and common integration patterns
- Deep, hands-on understanding of intercompany accounting and operations — transaction matching, netting and settlement, eliminations, transfer pricing, and the regulatory drivers (e.g., OECD Pillar Two) reshaping the space. This is the most critical qualification for the role: you should have a clear point of view on why intercompany is the hardest bottleneck in the global close and how an intercompany-led close and agentic AI change that
- Strong strategic and analytical thinking: connects product initiatives to business objectives and makes data-driven investment trade-offs
- Excellent communication, presentation, and storytelling skills; tailors the message to engineers, executives, and customers. Calm, decisive, and resourceful under pressure in a fast-moving, high-growth environment
- Bachelor's degree in Business, Marketing, Computer Science, or a related field, or equivalent experience; exposure to accounting or finance is an advantage
- Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week
- Familiarity with the intercompany competitive and partner landscape — consolidation/CPM tools, ERP-native matching, and AI-native entrants — is a strong plus
Benefits
- Short-term and long-term incentive programs, based on eligibility
- A robust offering of benefit and wellness plans
- A wide variety of professional development seminars
- Inclusive affinity groups to celebrate and support diversity
- Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week
Company Overview
Company H1B Sponsorship