Technical Product Manager (all genders)

Our vision is to create a better future for businesses and talent - one hire at a time. We’re driven by our winning aspiration: to be the #1 provider of hires for our core customers, making this vision a reality.

To do this, we need you and your talents on our team . Become a part of HeyJobs and shape the future of recruiting with us! Join the HeyVolution!

For 9 years, we've been revolutionizing the recruitment market with our AI-based job platform. Our technology simplifies the path to a new job like never before and helps companies solve their skilled labor shortages.

With over 4,700 satisfied clients, including 8 of the top 10 largest employers in Germany and Austria, leading companies rely on HeyJobs for their recruiting. Last year alone, we helped over 100,000 people find their new jobs. Already, more than 1% of all hires occur through the HeyJobs platform.

We offer you an influential role in a fast-growing company:

As a Technical Product Manager (all genders) you will drive the development of marketing steering models and our marketing data stack, which will help our Talent Marketing to attract talents to the job offers of our clients.

This role offers an exciting mix of owning data products, developing data science models and hands on experience in a fast moving team.

In this role, you can earn an annual target salary between 55,000 - 70,000 €.

Your personal development and promotion opportunities are also guaranteed with us.

How you can contribute to HeyJobs

• Design, build, improve, and maintain data science products for our Talent Marketing Stack, including optimizing marketing performance, ensuring consistent delivery, and predicting outcomes for our clients.

• Collaborate with stakeholders (data scientists, analysts, engineers and marketing managers)

• Work cross functionally with other data teams across the company

• Pioneer AI-assisted development workflows

• Face and solve scalability challenges in our data architecture

• Hands‑on support of requests from stakeholders and prioritize backlog of the data engineering team

• Be a part of a unique, open and friendly team, solving challenges together.