Role Description SafeGraph is a Data as a Service (DaaS) company with one focus: curating the most accurate, precise, and fresh points of interest (POI) database on the planet. We provide product builders, data scientists, and analytics teams with the location data they need to power site selection, transaction enrichment, advertising audiences, competitive intelligence, and more. You will play a critical role in shaping how our data products are built, validated, and trusted. This role combines product thinking with hands-on technical execution - you'll drive AI-powered product initiatives while owning the data quality processes our customers depend on. You'll sit on our Product team and work closely with Customer Success, Sales, and Engineering to identify data integrity risks early, accelerate investigations, and ship better data. Key Responsibilities - Manage initiatives to improve data product offering work with engineering or use AI tools to define problems, shape solutions, and ship. - Investigate data quality issues independently and own the full feedback loop, from root cause to resolution to clear communication with Customer Success and customers (joining customer calls, providing written resolution notes, etc). - Design QA procedures to proactively identify and prevent data integrity issues. - Build repeatable, automated checks to reduce reliance on manual investigation. Qualifications - 2-4 years in a technical product management or analytics role. - Strong expertise in data analysis (Python, SQL). - Experience in QA for datasets. - A bias for automating repetitive tasks and reproducibility. - Experience using AI tooling to accelerate data analysis, investigation, and documentation. - Professional-level English proficiency, as English is the primary working language across the company (documentation, Slack, meetings). Nice to Have - Experience owning or contributing to AI/ML-adjacent product initiatives. - Experience with large geospatial datasets. - Experience communicating directly with customers. What Success Looks Like - Robust QA processes set up. - AI product initiatives shipping without needing close management. - Data quality issues resolve faster, with fewer escalations to engineering and clear communication to CS and customers.

A little bit about us… Pion is the award-winning platform where audience verification, data ownership, and marketing reach converge. We help 3,500+ brands—including the world’s biggest retailers—build lasting loyalty across 10 consumer groups in 100+ territories. Whether it’s through Student Beans, Beans iD, or our YMS events, we enable growth without compromise. At Pion, you’ll help us build a smarter, more transparent future for global commerce. Life at Pion Where People Thrive At Pion, we’re driven by big ideas and bold thinkers. Our purpose is clear: We make it possible to reward those who shape our world, from Students to Healthcare workers and more. That mission demands diverse perspectives and a culture where everyone belongs. Our people power everything we do from innovation to collaboration. We’re here to break down barriers and build a space where everyone can grow, learn, and thrive—because affordability starts with empowered people. Check out our SHARP values to find out more about our culture. Research shows that while men apply to jobs when they meet 60% of the requirements, women and those in underrepresented groups tend to only apply when they tick every box. We don’t think you should have to tick every box. We value your uniqueness, and it goes without saying that all applications are welcome, even if you don’t think you fit the criteria. Need any adjustments to support you with your application? Just drop us an email at talent@wearepion.com. **** About the role. As a result of our incredible success and growth, we are looking for a Senior Product Manager to join us. Responsibilities include - Own and drive the product strategy and roadmap for key consumer-facing products including the Student Beans website, BeansID.com, and browser extension experience, ensuring they continue to deliver value for both users and brand partners. - Lead the ongoing growth and optimisation of SEO as a critical acquisition channel, partnering closely with the SEO content team to scale performance, improve technical SEO foundations, and strengthen visibility across traditional and AI-driven search experiences. - Use a data-led, experimentation mindset to drive continuous discovery and product improvement, running hypothesis testing, A/B experiments, and customer research alongside delivery to inform product decisions and prioritisation. - Lead and support a cross-functional squad by translating business and stakeholder requirements into clear product priorities, owning the backlog, facilitating squad ceremonies, and ensuring teams remain focused on delivering high-impact outcomes efficiently. - Act as a key product leader and stakeholder partner across the business, confidently managing competing priorities, challenging scope where needed, and simplifying solutions to deliver customer value faster while representing a highly visible consumer-facing product experience.

• Own the end-to-end consumer journey — from discovery and education through onboarding, treatment, and ongoing engagement • Partner with engineering and design to build AI into the core consumer experience. • Lead projects through the ideation, development, and launch of innovative customer experience features • Partner with our clinical teams to ensure protocols, safety, and education are core to the product experience • Help shape short to long-term roadmaps, driving long-term scalability while balancing day-to-day improvements • Maximize efficiency in a fast-growing company with a constantly evolving environment

• Develop and own the product vision and strategy for Data Collection, Transformation, and Ingestion as a core platform capability for Grafana Cloud • Partner closely with senior R&D leaders to align product and technical strategy across teams, make clear tradeoffs, and ensure the roadmap balances customer value, platform leverage, operational excellence, and business impact • Use customer research, product analytics, competitive insight, and business context to identify the highest-impact problems to solve • Define how AI should influence this domain, including how it can help customers instrument applications, configure collection, transform telemetry, control cost, improve data quality, query more efficiently, and troubleshoot ingestion issues more intelligently • Build strong relationships with customers and prospects, especially technical buyers and observability practitioners • Help GTM teams understand product differentiation, customer value, roadmap direction, AI relevance, and market positioning • Coach and develop Product Managers, helping them strengthen their product judgment, strategic thinking, communication, stakeholder management, and ability to drive high-quality outcomes with their cross-functional teams • Create a high-accountability, high-trust environment where PMs and cross-functional teams understand what matters, why it matters, and how their work contributes to Grafana Labs’ success