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Job Description & How to Apply Below
Who We Are
Sibros is accelerating the future of SDV excellence with its Deep Connected Platform™ that orchestrates full vehicle software update management, vehicle analytics, and remote commands in one integrated system. Adaptable to any vehicle architecture, Sibros' platform meets stringent safety, security, and compliance standards, propelling OEMs to innovate new connected vehicle use cases across fleet management, predictive maintenance, data monetization, and beyond.
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Our Mission
Our mission is to help our customers get the most value out of their connected devices.
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About
The Role
Job Title:
Product Manager
Job Type: Full-Time
Experience:
5+ years
Hashtags: #IoT #automotive #product management #SaaS #telematics #OTA
As a Product Manager at Sibros, you aren't just managing a product backlog - you are the architect of our product's competitive edge. You will sit at the intersection of deep-tech engineering, business strategy, and user experience. We are looking for a 'Product CEO' mindset: someone who can navigate the ambiguity of the automotive tech landscape, synthesize complex data into a clear vision, and lead cross-functional squads to deliver high-impact results.
What you'll do
Drive Data-Informed Iteration:
Beyond just collecting metrics, you will define the KPIs that matter. You'll use product analytics and A/B testing to pivot or persevere on key features.
Champion the Customer:
Be the 'Voice of the User' in every room. You'll conduct continuous discovery to deeply understand customer pain points before they even become 'requirements.'
Optimize Value Delivery:
Ruthlessly prioritize the backlog. You'll make the hard trade-off decisions between technical debt, feature requests, and strategic bets to maximize ROI.
Product Strategy & Ownership:
Lead the full product lifecycle for high-impact data applications serving fleet operators and end consumers from discovery and requirements through production and scale. Examples include fleet intelligence (predictive maintenance, anomaly detection, safety scoring) and customer-facing tools (self-serve analytics, reporting portals, AI-powered insights).
Technical Validation:
Partner closely with Data Engineering and broader Product Management teams to define success metrics, evaluate statistical models, and ensure the integrity and credibility of AI-driven outputs.
Autonomous Decision-Making:
Act as the primary authority for your product domain, synthesizing market insights and technical constraints into a clear, prioritized roadmap without requiring day-to-day tactical guidance.
Cross-Functional Leadership:
Interface with Business Development and Engineering to translate complex customer needs into scalable, platform-agnostic solutions that serve diverse market segments.
What you should know
Ideal attributes
Systems Thinking:
You approach product development through a systems lens, understanding how individual applications interact with broader platform architectures and data ecosystems.
Communication:
You can translate highly technical data concepts into strategic business value for stakeholders, ensuring alignment between technical execution and commercial objectives.
Strategic Autonomy:
You are a principled, self-directed leader with a history of making high-stakes decisions independently. You excel at navigating ambiguity and establishing clear directions in a fast-paced environment.
Required Qualifications
5+ years of Professional
Experience:
You possess a significant track record in Product Management at high-growth environments, specifically within the automotive, mobility, or industrial IoT sectors. You have successfully delivered complex technical products to market at scale.
2+ years of Data Science & Analytics
Experience:
Experience of delivering data-intensive products or LLM/Generative AI integrations in production, with the technical depth to evaluate data science workflows, model performance, and statistical significance alongside specialized engineering teams.
Automotive Domain Expertise:
You have a comprehensive understanding of the automotive lifecycle, including vehicle data architectures, telematics, and the operational requirements of both fleet and consumer-facing OEMs.
Preferred Qualifications / Experience
Post-graduate degree :
Master's degree in Engineering or any other equivalent field is highly preferred.
Product Management or relevant certification :
Certifications like PMP, CSPO etc. are preferred.
Advanced Technical Credibility:
Published machine learning research or meaningful contributions to the open-source community, demonstrating a deep, principled understanding of systems.
Real-Time Data
Infrastructure: Proven experience of developing data products focused on streaming architectures, edge computing, and low-latency environments.
Governance & Ethics:
Proficiency in navigating global data privacy regulations (GDPR, CCPA) and emerging AI governance frameworks (e.g., EU AI…
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