This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Product Manager: Data Products in Germany.
This role is a unique opportunity to lead the strategy and development of data-driven products in a cutting-edge AI environment. You will work at the intersection of product, data science, and engineering to transform complex datasets into impactful business solutions. Focused on accelerating pre-sales success, you will design systems that convert raw data into compelling insights and automated demonstrations. The position combines technical depth with strong business acumen, enabling you to influence revenue growth and customer engagement. You will collaborate closely with cross-functional teams, including engineers, analysts, and sales leaders, to deliver scalable solutions. This is an ideal role for a product leader passionate about data, AI, and building high-impact tools that drive measurable outcomes.
Accountabilities:
- Define and execute the product strategy for data solutions that enhance pre-sales performance and reduce time-to-value
- Lead the development of automated systems to collect, process, and integrate prospect data at scale
- Identify opportunities to streamline workflows and automate repetitive engineering and data tasks using advanced technologies such as LLMs and intelligent agents
- Oversee the creation of analytical tools, dashboards, and reporting systems that enable data-driven decision-making and compelling business cases
- Collaborate with stakeholders to fine-tune AI models and ensure optimal performance tailored to prospect needs
- Drive continuous product improvement by analyzing user behavior and identifying opportunities to enhance core systems
- Build internal tools that empower sales teams with self-service capabilities, reducing reliance on technical teams
- Act as a key liaison across engineering, data, and commercial teams to align priorities and support deal success
Requirements:
- 5+ years of experience in Product Management, ideally within B2B SaaS, data platforms, or AI-driven environments
- Strong technical understanding of data pipelines, ETL processes, and ability to collaborate with engineering teams working in JavaScript ecosystems
- Proficiency in working with data analytics tools and defining requirements for dashboards and reporting systems
- Experience leveraging large datasets to drive product decisions and innovation
- Proven ability to work closely with sales teams and customers to translate technical capabilities into business value
- Strong communication and stakeholder management skills across technical and non-technical audiences
- Familiarity with SQL, Python, or similar tools for data exploration is a plus
- Ability to thrive in fast-paced, collaborative, and highly technical environments
Benefits:
- Competitive compensation package including equity opportunities
- Unlimited paid time off with encouragement to take meaningful breaks
- Fully remote work environment with flexibility to choose your location
- Comprehensive health coverage fully sponsored for employees
- Home office stipend to support your remote setup
- High-quality equipment provided, including company laptop
- Annual learning and development budget to support professional growth
- Parental leave benefits for eligible employees
- Inclusive and collaborative culture focused on innovation and continuous improvement
How Jobgether works:
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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