AI Product Manager

BlackLine•New York, NY

2h•Hybrid

About The Position

BlackLine's New York AI Innovation Hub operates as an agile, AI-first startup with the backing, scale, and customer reach of BlackLine, Inc. (Nasdaq: BL), the future-ready platform for the Office of the CFO. Building directly with BlackLine's enterprise customer base, we ship AI-native capabilities at startup speed, equipping our teams with best-in-class tools like Claude Code to move from idea to production fast. Our mission is to transform finance and accounting with trusted, auditable AI agentic products like Verity Accruals that take on complex, manual work and deliver real business value for the world's leading finance teams. We're defining what agentic finance best in class means, building and leading the category, at the speed and ownership of a startup, paired with the data, governance, and two decades of trust only BlackLine brings to the Office of the CFO. We are looking for an AI Product Manager to work shoulder to shoulder with our best-in-class AI hub engineering team and our most future-facing clients to build the next generation of AI agents for the accounting close. You’ll blend accounting expertise with a passion for technology, Success is measured by driving product adoption through thoughtful, accurate product delivery and responding directly to each customers’ needs while simultaneously providing education and enablement.

Requirements

3+ years in corporate accounting executing across month-end close tasks (like booking accruals, amortizing prepaid schedules, reconciling cash ledgers, etc.)
Bachelor’s in Accounting, Finance, or a related field (CPA or CMA preferred)
Deep familiarity across ERP platforms like SAP, NetSuite, or Sage Intacct.
Deep familiarity with the month end close process for a corporate accounting team.
Clear, concise communicator with strong organizational hygiene to structure and manage multiple concurrent deliverables.
Ability to translate technical accounting concepts to non-accounting stakeholders.
Thrive in a fast-paced, in-person-first environment.
1-2 years of product management experience with 2-4 years enterprise software involvement.
Bachelor's degree in accounting/business or related technical fields, or equivalent work experience with enterprise Office of Finance applications or accounting firms.
Proficient with Agile methodologies including Scrum and Kanban.
Strong familiarity with enterprise Cloud applications and related technical infrastructure (distributed systems, APIs, licensing models, accessibility, data import/export).
Excellent organizational, written, and verbal communication skills.
Ability to gather and transform business requirements and market needs into successful product strategy inputs (Design Thinking experience a plus).
Develop roadmap priorities, create user stories, and maintain/refine the product backlog.
Work closely with both business and technical resources.
Collaborate across multiple internal stakeholder teams (CloudOps, InfoSec, AppSec) to gather and rank competing priorities.
Strong attention to detail and accuracy.
Ability to work under pressure, meet deadlines, and prioritize multiple projects simultaneously in a dynamic, high-growth environment.
Proficiency in Microsoft Office.
Familiarity with agile enablement applications (Jira and Productboard preferred).

Nice To Haves

Master's degree preferred.
Statistical analysis is a plus.
Experience scaling research processes and operations within an organization is a plus.
Enterprise SaaS experience.
Experience with FinTech products/Finance Operations Management suite.

Responsibilities

Act as the primary product expert for our AI agents, guiding clients from initial design partnership through to successful adoption.
Embed with client accounting teams to deeply understand their workflows, gather direct feedback, and translate their needs into actionable product requirements for the engineering team.
Partner directly with engineering, but also with design, marketing, and sales teams, to ensure seamless product iteration and market fit based on client feedback.
Monitor the performance of, and ensure that the quality of product outputs adhere to accounting standards by executing and improving on QA testing processes.
Maintain rigorous documentation of standard operating procedures, performance analytics, and quality assurance frameworks to ensure consistent execution and knowledge transfer across all involved teams.