Senior Product Manager, Data and AI 80-100%
Senior Product Manager, Data and AI 80-100%
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Job Description
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 youll 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 bachelors or masters 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.
Additional Information :
Please note that we will only consider candidates with a valid work permit.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
