Kinexon
Product Manager - Asset Tracking
HybridMidMunich, GermanyB2B SaaSPlatformLogistics
Our Take
Drive Kinexon's Asset Tracking product, focusing on RFID use cases and customer value.
What you’ll do
- Product ownership for Asset Tracking workflows
- Customer discovery with enterprise clients
- Translate requirements into backlog priorities
- Collaborate with Engineering and TPMs
- Support GTM enablement
- Track adoption and outcome KPIs
What they’re looking for
- 2-5 years Product Management experience
- B2B SaaS experience preferred
- Interest in IoT, physical operations, data-driven products
- Structured thinking for complex problems
- Fluent English and German language skills
What you get
- 30 days paid vacation (DE)
- Parental leave options
- Flexible work hours
- Hybrid and remote work model
- Team and company events
- Annual flexible benefits budget
Skills & Focus Areas
- Product Management
- B2B SaaS
- IoT
- Customer Discovery
- Agile
- Backlog Prioritization
- KPI Tracking
- Product Strategy
As posted by Kinexon
ROLE PURPOSE
Own and drive a defined part (e.g., RFID) of the Asset Tracking product domain, focusing on customer value, delivery execution, and continuous improvement. You work hands-on across discovery, delivery, and adoption while contributing to the overall Asset Tracking platform strategy.
This position requires 2-3 days of in-office presence per week in Munich.
WHAT YOU WILL OWN
- Product ownership for specific Asset Tracking workflows and use cases (RFID-related use cases)
- Customer discovery with enterprise customers (shadowing and leading interviews)
- Translate customer and operational requirements into clear problem statements and backlog priorities
- Close collaboration with Engineering and TPMs on delivery, rollout, and quality
- Support GTM enablement with product insights, demos and value narratives
- Track adoption, usage and outcome KPIs for your product area
YOUR PROFILE
- 2–5 years Product Management experience (B2B SaaS preferred) or similar
- Strong interest in IoT, physical operations and data-driven products
- Structured thinking and ability to break down complex problems
- Hands-on, pragmatic mindset with willingness to learn
- Strong communication skills across Product, Engineering and Ops
- Fluent English and German language skills
YOU CAN LOOK FORWARD TO THIS WITH US
At KINEXON, you will meet people with a similar mindset who are passionate about innovative technologies and love to master new challenges in a team, as well as create great products.
Become part of our team and enjoy the following benefits:
- #Freetime 30 days (DE) / 20 days (US) paid vacation to refuel your energy (for full-time employees)
- #WeCare – take your time off for the family (parental leave etc.)
- #WorkingHours – Early bird or night owl - you can choose your flexible work hours.
- #FlexibleLocation – we work with a hybrid and remote model.
- #OneTeam - We enjoy spending time together at regular team and company events.
- #OnTop - further benefits selected by you annually out of a range of benefits that we offer (mobility, sports, vacation budget, training budget and more)
If you want to find out more about our benefits, you can look here and with a visit to Instagram wearekinexon you can get a look behind the scenes.
ABOUT US
KINEXON is a leader in Physical AI for Manufacturing & Sports, turning real-time location and motion data into actionable intelligence and automation. Our AI and IoT-driven platform supports a wide range of applications, from automated logistics and safety solutions in factories to live player tracking and performance analytics in sports. In sports, 80% of NBA teams rely on KINEXON technology, alongside FIFA and top European football teams and leagues. In manufacturing and logistics, we partner with blue chip companies including BMW, Siemens, Airbus, Continental, and MTU to drive measurable efficiency gains. Founded as a TU Munich spin-off, we are a team of ~250 people headquartered in Munich with a US office in Chicago - and we're hiring ambitious talent ready to shape the future of physical AI.