About Us
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Our mission is to provide transparency on business conduct risks to drive positive change. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk’s solutions bring performance and peace of mind, enabling clients to know more, be sure, and act faster. With our values of intellectual honesty and humility, operational excellence, and openness and respect, our diverse teams of talented experts are pioneering solutions that enable clients to make better informed decisions. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and meaningful change through transparency.
We offer
- Fixed and variable compensation package
- Flexible working hours and arrangements
- An entrepreneurial, international, and dynamic work environment
- A shared mission to drive accountability and responsible behavior of companies, thus creating positive change
- A company that embraces diversity, because life would be boring if we were all the same!
About You
Are you passionate about harnessing artificial intelligence and data to tackle real-world challenges on a scale? Do you excel at transforming complex user needs into impactful, innovative products that empower clients to manage risks effectively? Are you patient and persistent in navigating technical challenges, facilitating cross-team collaboration, and continually learning about cutting-edge data and AI technologies?
If you are driven by curiosity, dedicated to responsible tech development, and eager to make a measurable impact through advanced AI solutions, this is the ideal role for you!
Your Responsibilities
As our new (Senior) Product Manager, you’ll lead the evolution of our AI-powered systems, shaping innovative workflows that empower clients to manage risks effectively, and at scale:
- Product vision & strategy: Understand client needs for RepRisk risk incident data. Own and refine the product strategy and roadmap for our AI-powered risk incident dataset our clients rely on. Drive continuous enhancements in incident detection accuracy, latency reduction, classification effectiveness, severity assessment, and duplication management. Balance external client requirements, analyst efficiency, compliance, and strategic business priorities.
- AI & data-pipeline leadership: Collaborate closely with ML and data engineers to enhance our AI-driven incident identification, classification, and evaluation pipelines. Oversee and optimize robust data processing workflows for real-time scalability and operational reliability. Define and maintain rigorous evaluation metrics and guardrails (accuracy, bias mitigation, hallucination prevention, and drift detection).
- Human-in-the-loop workflow: Design and manage internal analyst feedback loops, as well as incorporate direct client feedback, to continuously improve data quality, enhance accuracy, and increase the effectiveness of AI outputs. Organize prompt-engineering sessions and workshops, driving iterative improvements in AI system performance.
- Cross-functional execution: Lead agile, cross-functional teams through all phases of product delivery. Facilitate agile ceremonies, unblock team impediments, and ensure regular delivery of incremental product value.
- Client & stakeholder management: Facilitate effective communication of development priorities, updates, and client needs across the organization. Convert client and internal stakeholder needs into clear product requirements and detailed user stories. Develop client-focused documentation, changelogs, FAQs, and internal knowledge repositories. Work closely with legal and compliance teams to ensure product alignment with current and emerging AI regulations (e.g., EU AI Act).
- Metrics & continuous improvement: Own and monitor key performance indicators (accuracy, recall, latency, analyst efficiency, client satisfaction). Drive continuous product improvement through experimentation, rigorous A/B testing, and data-driven decision-making.
Qualifications
You Offer
- 5+ years of product management experience, with at least 2 years managing AI, ML, or data-intensive products.
- A bachelor’s or master’s degree in product management, engineering, statistics or a related field.
- Proven experience delivering products leveraging large language models (LLMs), generative AI, or advanced machine learning techniques (classification, retrieval augmentation, evaluation frameworks).
- Technical proficiency in Python, SQL, data pipelines, and strong ability to collaborate closely with engineering teams.
- Experience or familiarity with prompt engineering is highly desirable.
- Hands-on experience designing and managing human-in-the-loop processes and analyst-driven model feedback loops.
- Solid understanding of responsible AI practices and familiarity with regulatory frameworks (e.g., EU AI Act).
- Excellent written and verbal communication skills in English
- Strong team-player mindset, able to collaborate effectively across diverse groups.
- Interest or prior experience in risk management, compliance, or data-driven solutions.
Please note that we will only consider candidates with a valid work permit.
Skills Required
- 5+ years of product management experience
- At least 2 years managing AI, ML, or data-intensive products
- Bachelor's or master's degree in product management, engineering, statistics or related field
- Proven experience delivering products leveraging large language models, generative AI, or advanced machine learning
- Technical proficiency in Python, SQL, and data pipelines
- Experience with prompt engineering is highly desirable
- Hands-on experience designing human-in-the-loop processes and feedback loops
- Familiarity with responsible AI practices and regulatory frameworks
- Excellent written and verbal communication skills in English
- Strong team-player mindset and effective collaboration skills
- Interest in risk management or data-driven solutions
What We Do
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. From 2007, RepRisk’s data has been trusted by the world’s leading banks, investment managers, Fortune 500 companies, sovereign wealth funds, and organizations such as the OECD, UN, and the World Bank. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk’s solutions bring peace of mind, enabling clients to ‘know more, be sure, and act faster’. Our pioneering solutions help to strengthen due diligence processes across reputational risk and business conduct topics, such as biodiversity, deforestation, human rights, and corruption, empowering clients to identify, monitor, and mitigate reputational, compliance, and financial risks. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive change through transparency.
