Position Summary:  

We are looking for a Senior Programme Manager to innovate, win and grow with us!    

Bottomline is seeking a motivated and driven Programme Manager who thrives in a collaborative and fast-paced product environment. This role will lead and deliver complex programmes and projects across Product, Technology and other functions within Bottomline as well as directly with Customers and Partners. 

Essential Job Functions: 

• Lead end-to-end planning, execution, and delivery of complex cross-functional programmes and projects, including but not limited to customer deployments, migrations, product end of life, and revenue growth initiatives.  

• Define programme/project scope, success metrics, deliverables, timelines, and governance frameworks.  

• Maintain strong delivery momentum through proactive risk, issue, and dependency management, ensuring clear and actionable mitigation plans.  

• Drive operational excellence by continuously improving processes, tools, and reporting practices. 

• Implement effective governance structures (e.g., steering committees, working groups, roadmap reviews, checkpoints) that maintain alignment and accountability. 

• Establish clear cross-functional communication models and operating rhythms, ensuring clarity of responsibilities, decisions, and expected outcomes.  

• Monitor and report on programme and project performance, creating clear insights and assets that support decision making, transparency, and timely escalation. 

• Lead and facilitate project & programme retrospectives to identify learnings and embed continuous improvement. 

• Support Product teams with key programme/project administration when required.  

• Organise and facilitate stakeholder and product-initiative meetings.  

• Lead change-management activities to drive successful adoption of new processes, technologies, and product capabilities. 

Required skills: 

• Strong ability to lead and collaborate across cross-functional teams, driving delivery and ensuring accountability. 

• Ability to build strong relationships, negotiate priorities, and influence decisions across teams & leadership levels. 

• Experience managing multiple concurrent programmes/projects in a fast paced environment, adjusting priorities in line with business needs. 

• Solid understanding of project and programme management methodologies (e.g., Waterfall, Agile, hybrid models). 

• Strong organisational and planning skills, with attention to detail and the ability to create clear documentation, reporting, and communication assets. 

• Good understanding of the product development lifecycle, including agile frameworks (Scrum, Kanban). 

• Ability to interpret data, draw insights, and communicate findings to diverse audiences. 

• Excellent written and verbal communication skills tailored to technical and nontechnical audiences

• Proven experience communicating and presenting confidently to senior leadership and executive stakeholders. 

• Proficiency with industry standard tools and systems (e.g., JIRA, Confluence, MS Office/365). 

Education and Experience:  

• Proven success operating across all levels and functions within an organisation 

• Demonstrated success delivering outcomes in a matrixed, fast paced environment  

• Background in SaaS, cloud based products would be advantageous.  

• Bachelor’s degree or equivalent experience 

• 7+ years of hands-on programme or project management experience  

• Recognised certifications (e.g., PMP, PRINCE2, MSP)  

We welcome talent at all phases of their career, understanding and supporting additional needs (where applicable) as we look to innovate, win, and grow together.  

Bottomline is proud to be an equal opportunity employer. We are committed to treating all individuals in a fair and equal manner by creating an inclusive and open environment.   

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.