Product Manager (Automotive Parking)

Location: Leonberg, Germany; full-time hybrid role based in the Germany office

Company

hirify.global builds an end-to-end AI platform for autonomous driving that learns from real-world experience and integrates with global OEM partners.

What you will do

• Own the end-to-end lifecycle of Parking features, including Park Distance Control, Rear-AEB, Auto-Park Assist, Remote Park Assist and Memory Parking.
• Work with OEM customers, product teams and engineering teams to define feature scope, specifications, performance targets and delivery plans.
• Shape Parking sensor and compute architecture with systems, hardware, perception, platform, safety and supplier teams.
• Lead integration and issue resolution across ultrasonic sensors and surround-view cameras.
• Support testing, evaluation and validation, ensuring feature quality and production readiness.
• Manage risks, dependencies, trade-offs and the strategic feature roadmap as the technology advances toward higher levels of autonomy.

Requirements

• Strong experience specifying and delivering automotive Parking features from concept through production.
• Knowledge of automotive development processes, requirements management, the V-model, ASPICE, quality and validation.
• Experience working directly with OEM customers and negotiating requirements while maintaining product strategy.
• Technical understanding of Parking sensor systems, including ultrasonic sensors and surround-view cameras, interfaces, calibration, diagnostics and supplier integration.
• Experience delivering ADAS or Parking features on resource-constrained automotive SoCs, including awareness of compute, memory, bandwidth, latency and thermal constraints.
• Ability to collaborate across customers, product, systems, hardware, perception, platform, safety and engineering teams.

Nice to have

• Experience shipping complete Parking features into large-scale automotive production programmes.
• Knowledge of SOTIF, functional safety, NCAP, UNECE, GSR-II and DCAS.
• Experience with AI/ML, LLMs or generative-AI methods and architectures.

Culture & Benefits

• Hybrid working with in-person collaboration in offices, workshops and labs alongside remote focus time.
• Relocation support and visa sponsorship are available where applicable.
• Market-benchmarked salaries, meaningful equity and learning and development budgets.
• Benefits may include health and dental insurance, enhanced parental leave, retirement or pension support, therapy access and wellbeing partnerships.
• Hands-on work with vehicle workshops and labs, core hours and an early-stage environment with significant ownership.

Hiring process

• Initial recruiter call lasting approximately 30 minutes.
• Competency interviews covering product ownership, customer collaboration and cross-functional delivery.
• Technical deep dives covering Parking and ADAS knowledge, feature delivery and product thinking, followed by a final mission and values interview.