Principal Product Manager, CSR

Bonterra exists to propel every doer of good to their peak impact, and they are seeking a Principal Product Manager, CSR to lead the evolution of their Corporate Social Responsibility products. The role involves owning complex product areas, driving AI strategy, and making durable technology decisions to improve outcomes for customers and the social good sector.

Responsibilities:

• Own the business and customer outcomes for a defined set of CSR product capabilities, with end-to-end accountability from discovery through delivery, adoption, and measurable business impact
• Set and execute product strategy for your portfolio, balancing customer value, platform scalability, and Bonterra’s growth objectives
• Drive AI strategy for your product area, identifying where intelligence, automation, and adaptive systems can meaningfully improve outcomes for customers and internal teams
• Operationalize AI responsibly, partnering with Engineering and Design to ship capabilities with strong defaults, clear user control, and trust-worthy behaviour
• Make durable, high-leverage product decisions in close partnership with Engineering, including difficult trade-offs between speed, quality, and long-term scalability
• Represent product leadership at a senior level, shaping how Bonterra invests in CSR technology and innovation
• Define and own the long-term product vision for key CSR capabilities, grounded in real customer problems and aligned with Bonterra’s mission and business objectives
• Apply an AI-native mindset to product strategy - using AI to accelerate discovery, synthesis, and decision-making, and designing AI-powered experiences that create meaningful customer value
• Identify where automation, intelligence, and adaptive systems can fundamentally change how CSR work is done, not just make existing workflows marginally better
• Engage deeply with customers and users to understand their goals, constraints, and moments of friction—turning insight into clear product bets
• Define success in terms of outcomes (customer impact, adoption, business results), not just outputs
• Continuously validate that what we build delivers real value in the hands of customers, and course-correct quickly when it doesn’t
• Partner closely with Engineering to make sound, scalable technology decisions that balance speed today with flexibility tomorrow
• Drive the design of systems that have strong defaults, learn over time, and support configuration and extensibility without becoming brittle or bespoke
• Translate complex technical concepts into clear product intent and trade-offs, enabling strong cross-functional alignment

Requirements:

• 8+ years of product management experience in SaaS, with experience owning complex, platform-oriented products
• Exposure to AI-powered products or systems, with a thoughtful approach to where AI creates real value
• Experience leveraging AI for your Product Manager workflows; discovery, prototyping, etc
• Experience in CSR, ESG, social impact, or adjacent enterprise domains is a strong plus
• AI-native in your product practice – You actively use AI to think better, move faster, and explore more possibilities, and you design products that responsibly leverage AI to solve real user problems
• Customer-problem obsessed – You measure your success by the problems you eliminate, and the outcomes customers achieve, not by feature counts
• Technically fluent – You can engage deeply with engineers on architecture, trade-offs, and long-term scalability, even if you don't write production code
• A systems thinker – You think beyond individual screens to platforms, workflows, and ecosystems
• Mission-driven but pragmatic – You want to change the world, and you understand that durable impact requires focus, discipline, and strong execution
• Led a multi-quarter product initiative that materially improved customer adoption, retention, revenue, or operational efficiency
• Made and stood behind difficult product trade-offs, balancing near-term delivery with long-term platform health
• Shipped platform or foundational capabilities that enabled multiple downstream teams, workflows, or products