We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Company description

Sportradar is a NASDAQ-listed and one of the fastest-growing sport-tech companies on the planet. We strive to reimagine the experience sport fans around the globe.

Our division, Sportradar Ad:s, provides data-driven marketing and sponsorship services for our clients across the globe, with focus on sports and iGaming industries. We deliver significant efficiency improvements for marketing investments across various channels, including programmatic advertisement, social networks and search engines.

We are passionate about what we do, and we care passionately about our people. We value diversity and strive to create an environment which enables everyone to realise and grow their potential.

THE CHALLANGE: 

You will act as the delivery anchor for the programmatic product team, keeping execution on track while supporting discovery, documentation, and stakeholder communication. Core responsibilities include:

• Serve as the operational right hand to the Product Lead — owning backlog health, sprint coordination, and cross-functional follow-through

• Write and maintain well-scoped tickets, user stories, and acceptance criteria; prioritise with stakeholders and track delivery progress

• Translate programmatic domain requirements — bidding logic, trafficking specs, pixel/tag structures, attribution models — into clear development tasks for engineering teams

• Coordinate between engineering, data, trading, and commercial teams to unblock delivery and manage dependencies

• Produce and maintain product documentation including feature specs, integration guides, decision logs, and release notes

• Monitor live campaign and platform performance; identify issues and drive resolution with relevant teams

• Prepare status updates, milestone tracking materials, and sprint review outputs for internal stakeholders

• Support product discovery through user research, competitive analysis, and data-driven prioritisation exercises

• Work closely with the DSP product and data engineering teams to define algorithmic optimisation and automation requirements

ABOUT YOU:

Programmatic experience is strongly preferred — the closer you are to the ecosystem, the faster you'll hit the ground running. We're equally open to sharp product or delivery professionals who bring genuine curiosity for the ad tech space and a track record of getting up to speed quickly in technically complex environments.

Core programmatic knowledge you will bring:

• Solid working understanding of the programmatic ecosystem: DSPs, SSPs, ad exchanges, and auction mechanics (first-price, second-price, PMP/PG deals)

• Familiarity with campaign trafficking: line item setup, targeting parameters, frequency caps, bid strategies, and pacing

• Experience with tracking and measurement: pixels, impression/click trackers, floodlights, and SDK-based event tracking

• Understanding of attribution modelling (last-click, multi-touch, view-through) and their practical trade-offs

• Knowledge of conversion optimisation levers: bid shading, audience segmentation, creative rotation, smart bidding

• Awareness of how ML/algorithmic optimisation is applied in programmatic buying — exposure to algorithm configuration or rules-based automation is a plus

• Familiarity with major platforms such as DV360, The Trade Desk, Stackadapt, Amazon DSP, or equivalent

Product and delivery skills:

• Delivery-oriented and structured — comfortable owning a backlog, tracking commitments, and escalating blockers proactively

• Experience writing product requirements, user stories, or functional specs in an agile team environment

• Ability to work across technical and non-technical stakeholders, translating between business needs and engineering tasks

• Strong written communication: clear, concise, and precise in documentation and stakeholder updates

• Analytical mindset — comfortable using data to validate assumptions and assess product performance

• Self-directed and organised, able to manage multiple workstreams without close supervision

Experience profile:

• 1–4 years in a programmatic, ad operations, trading, or ad tech role — OR — in a product, delivery, or project management role within digital advertising

• Exposure to data-driven advertising platforms or real-time event-triggered marketing is an advantage

• Experience working in an agile or scrum environment is beneficial but not required

NICE TO HAVE:

• Experience with sports data, contextual targeting, or real-time event-triggered advertising

• Familiarity with dynamic creative optimisation (DCO) and personalised ad delivery

• Understanding of CTV or DOOH programmatic formats

• Basic SQL or data querying skills for self-serve analysis

• Prior exposure to brand advertising beyond performance/DR campaign execution

OUR OFFER:

• A collaborative environment with colleagues from all over the world, including various social events and team building activities.

• Flexibility to manage your workday and tasks with autonomy.

• Direct mentorship and day-to-day collaboration with an experienced Product Lead.

• A fast-moving, cross-functional team spanning ad tech, sports data, AI, and creative technology.

• Real scope to grow from a delivery-focused associate into a fully autonomous Product Manager as the platform scales.

• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.

• Global Employee Assistance Programme and well-being app access.

• Flexible working hours within a hybrid office model (3 days in-office per week, Vienna).

Our recruitment process

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 

• Interview: 60 minutes conversation with the Hiring Manager to discuss your professional background, key achievements, and how your skills align with the role.

• Team Interview: 90 minutes meeting with members of the wider team, focused on understanding your approach to problem-solving, collaboration, and how you would work within the team environment.

• Final Steps: Receive final feedback while onsite visit might be requested and, if successful, an offer!