Interested in this AI Product Manager role at BlackLine?
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Make Your Mark::
At BlackLine, our success hinges on developing and maintaining industry\-leading business solutions that hundreds of thousands of users across the world rely upon.¯¯A key success component is the highly collaborative and market\-facing nature of our Product Management team.¯¯Product Management is responsible for guiding products through the software development lifecycle including analyzing, positioning, promoting, and tailoring our solutions to both new and existing customers.¯¯They work closely with creative and talented engineers, designers, and marketers to help design and develop solutions that improve companies overall financial close process.
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As Product Manager, you will work cross\-functionally to guide products from conception to launch by connecting the business and technical worlds.¯¯From leveraging new and existing¯technologies to¯diving deep into feedback from some of the most recognized brands in the world, you will create buy\-in for product vision across internal and external stakeholders that includes customers and partners alike. The ideal Product Manager is a customer\-/market\- oriented person with strong product and project management skills, solid technical understanding and great personal skills for coordination with engineering teams and partner teams across the globe.
You'll Get To::
- Partner with Engineering, Architecture, and Product Design teams to define technical and user interface requirements
- Work closely with Agile\-based teams to ensure incremental and net new features/products align with product vision and market demands
- Translate business needs into product requirements that provide clear, concise, and prioritized direction to the Engineering team
- Strong analytical skills to define and understand data and metrics to influence product roadmaps and priorities
- Perform market, competitor, and customer research to identify and capitalize on industry trends, new technology, and regulatory/compliance changes
- Ensure BlackLine solutions promote simplification, accuracy, and an increasingly higher level of productivity for users
- Solicit and track feature requests from various internal and external stakeholders
- Maintain and prioritize product roadmap and backlog, ensuring that new features and products are consistently refined and validated
- Help manage and share product knowledge via BlackLine Community, release notes, internal training, and customer webinars
- Participate in sales and marketing activities including customer roundtables, sales demonstrations, customer advisory board, and user conferences
- Serve as a subject matter expert on BlackLine core system modules including assisting with internal training, Support team education, and product marketing efforts.
What You'll Bring::
- 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)
- 10\-20% travel to customers and company/industry events as required
PHYSICAL REQUIREMENTS
- Work is primarily sedentary in nature; no special demands required.
We’re Even More Excited If You Have::
- Education: 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
Thrive at BlackLine Because You Are Joining::
- A technology\-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem\-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!
- A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
- A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.
BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws
BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in\-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.
Salary Range:: USD $133,000\.00/Yr. \- USD $167,000\.00/Yr.
Salary Context
This $133K-$167K range is in the lower quartile for AI Product Manager roles in our dataset (median: $189K across 161 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 3,823 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At BlackLine, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $213,800 based on 583 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,000. This role's midpoint ($150K) sits 30% below the category median. Disclosed range: $133K to $167K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
BlackLine AI Hiring
BlackLine has 2 open AI roles right now. They're hiring across AI Product Manager, AI Software Engineer. Based in New York, NY, US. Compensation range: $167K - $242K.
Location Context
AI roles in New York pay a median of $211,000 across 2,643 tracked positions. That's 5% above the national median.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (112) are outnumbered by mid-level (1,798) and senior (1,516) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $275,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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