Senior Product Manager, AI & Data Science

Reposted 2 Days Ago
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Hiring Remotely in India
Remote
Senior level
Software
The Role
The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.
Summary Generated by Built In
Why Choose Bottomline?

Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!

Product Manager – AI & Data Science 

Location: Bangalore 
Experience: 6-8 years 
 

 

Role Summary 

We are seeking a Product Manager with strong AI & Data Science product experience to drive AI-led innovation across our product portfolio. This is a strategic AI product management role, focused on AI vision, governance, research, and prioritization—not day-to-day delivery or sprint execution. 

This PM will work horizontally across product lines, partnering with Product Line PMs and AI/Data Science/CTO engineering teams to ensure we invest in the right AI problems, apply responsible AI principles, and deliver high-impact, scalable AI features. 

 

Key Responsibilities 

AI Product Strategy & Roadmap 

  • Define and own the AI/Data Science product vision aligned to business outcomes. 
  • Identify and prioritize high-impact AI use cases across business payments network, corporate payment solutions and banking solutions 
  • Shape a multi‑quarter AI roadmap focused on measurable customer and business impact. 

AI Governance & Responsible AI 

  • Ensure AI initiatives comply with responsible AI principles (privacy, security, explainability, regulatory expectations). 
  • Establish and run AI intake, prioritization, and review mechanisms with Product Line PMs and engineering. 
  • Act as the central owner for AI product governance across teams. 

Research & Solutioning 

  • Lead problem discovery and solution research—customer pain points, data readiness, feasibility, and ROI. 
  • Partner with AI/Data Science engineers to evaluate model approaches, trade-offs, and constraints. 

Cross‑functional Leadership (No Sprint Ownership) 

  • Collaborate with Product Line PMs who own execution and delivery. 
  • Work closely with AI/Data Science, Data Platforms, Architecture and Legal/Compliance 
  • Influence priorities through clarity, insight, and impact—without direct authority. 

Impact & Measurement 

  • Define success metrics for AI features (adoption, efficiency, revenue, risk reduction etc.). 
  • Ensure AI investments deliver real customer and business outcomes, not just technical outputs. 

 

Required Qualifications 

  • 6–8 years of product management experience with hands-on AI/ML product exposure. 
  • Proven experience delivering AI-powered enterprise or B2B SaaS products. 
  • Strong understanding of applied ML concepts, data pipelines, and AI lifecycle. 
  • Experience working in regulated or complex domains (FinTech, Payments, Banking preferred). 
  • Strong stakeholder management, structured thinking, and written communication skills. 
  • Experience operating effectively in matrixed, global organizations. 

We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.

Skills Required

  • 6-8 years of product management experience
  • hands-on AI/ML product exposure
  • proven experience delivering AI-powered enterprise or B2B SaaS products
  • strong understanding of applied ML concepts and AI lifecycle
  • experience in regulated or complex domains (FinTech, Payments, Banking)
  • strong stakeholder management and written communication skills
  • experience in matrixed global organizations

Bottomline Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bottomline Technologies and has not been reviewed or approved by Bottomline Technologies.

  • Healthcare Strength Health coverage (medical, dental, vision) and EAP are seen as solid and well-rounded, contributing meaningfully to total compensation. Feedback suggests plan quality is a bright spot even when other elements feel average.
  • Leave & Time Off Breadth PTO is often characterized as ample, with paid holidays and sick leave bolstering overall time away. Some notes indicate policies that increase with tenure or offer unlimited structures in parts of the organization.
  • Flexible Benefits Remote and hybrid flexibility is commonly cited as a plus that supports work–life balance. Feedback suggests this flexibility helps offset concerns about base pay in certain roles.

Bottomline Technologies Insights

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The Company
HQ: Portsmouth, NH
5,395 Employees
Year Founded: 1989

What We Do

Bottomline (NASDAQ: EPAY) makes complex business payments simple, smart, and secure. Corporations and banks rely on Bottomline for domestic and international payments, efficient cash management, automated workflows for payment processing and bill review, and state of the art fraud detection, behavioral analytics and regulatory compliance solutions. Thousands of corporations around the world benefit from Bottomline solutions. Headquartered in Portsmouth, NH, Bottomline delights customers through offices across the U.S., Europe, and Asia-Pacific.

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