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Dynamic Yield Jobs (NOW HIRING)

Jobgether

Our partner is looking for a Product Manager Flashbid / Dynamic Yield based in Netherlands. This role gives you end-to-end ownership of the buy-side auction stack and proprietary wrapper powering ...

Dynamic Yield

Lead Site Reliability Engineer-2

O Fallon, MO · On-site

$53.25 - $70.75/hr

Lead Site Reliability Engineer-2 Overview: Who is Mastercard? At Mastercard technology, we work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making ...

Dynamic Yield

Lead Site Reliability Engineer-2

O Fallon, MO · On-site

$53.25 - $70.75/hr

Lead Site Reliability Engineer-2 Overview: Who is Mastercard? At Mastercard technology, we work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making ...

Dynamic Yield

Executive Assistant

Purchase, NY · On-site

$72K - $113K/yr

Executive Assistant Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone ...

skywater

Yield Staff Engineer

Minneapolis, MN

SkyWater is hiring a highly skilled and experienced Semiconductor Yield Staff Engineer to lead the ... dynamic environment. * Extensive hands-on experience in 90nm Bulk Silicon (Si) and Silicon-On ...

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How much do dynamic yield jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for dynamic yield in the United States is $13.72, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $14.90 per hour, depending on experience, location, and employer.

What is a Dynamic Yield specialist?

A Dynamic Yield specialist is a professional who works with the Dynamic Yield platform, which is a personalization and optimization solution used by businesses to enhance customer experiences across digital channels. Their role typically involves setting up, managing, and analyzing A/B tests, personalizing content, and optimizing user journeys to increase engagement and conversions. They collaborate closely with marketing, product, and technical teams to implement targeted campaigns and leverage data-driven insights. Dynamic Yield specialists need strong analytical skills, understanding of web technologies, and experience with personalization strategies.

What are the key skills and qualifications needed to thrive as a Dynamic Yield specialist?

To thrive as a Dynamic Yield Specialist, you need expertise in digital marketing, A/B testing, web analytics, and experience with personalization platforms. Familiarity with the Dynamic Yield platform, JavaScript, HTML/CSS, and data integration tools is typically required, along with certifications in digital marketing or Dynamic Yield itself. Strong analytical thinking, creativity, and effective communication skills help in designing and implementing impactful personalization strategies. These skills are crucial for driving user engagement, optimizing conversion rates, and delivering tailored digital experiences that meet business goals.

What are the typical responsibilities of a Dynamic Yield implementation specialist, and how does this role collaborate with other teams?

As a Dynamic Yield Implementation Specialist, your main responsibilities include configuring and deploying personalization campaigns, integrating the Dynamic Yield platform with clients’ websites or apps, and ensuring data accuracy for effective targeting. You will frequently collaborate with client-side developers, marketing strategists, and customer success managers to understand business goals and technical requirements. Cross-functional teamwork is essential, as you’ll often bridge communication between technical and non-technical stakeholders to ensure seamless campaign execution and optimize user experiences.

What is the difference between Dynamic Yield vs Data Analyst?

AspectDynamic YieldData Analyst
Required CredentialsExperience with personalization platforms, marketing analytics, and sometimes certifications in digital marketing or analyticsBachelor's degree in statistics, mathematics, or related field; certifications like Google Data Analytics or SQL are common
Work EnvironmentMarketing or e-commerce teams, often in tech or retail industries, focusing on customer experience and personalizationData teams within various industries, analyzing data to inform business decisions across departments
Employer & Industry UsageUsed by marketing and e-commerce companies for personalization and customer engagementUsed across industries for data analysis, reporting, and decision support

While Dynamic Yield focuses on personalization and customer experience platforms, Data Analysts primarily interpret data to support business strategies. Both roles require analytical skills, but Dynamic Yield specialists often have marketing or technical certifications, whereas Data Analysts focus on statistical and data management skills.

More about Dynamic Yield jobs

What job categories do people searching Dynamic Yield jobs look for?

The top searched job categories for Dynamic Yield jobs are:

Dynamic Yield jobs near you
Infographic showing various Dynamic Yield job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $28,538 per year, or $13.7 per hour.

Product Manager Flashbid / Dynamic Yield

Jobgether

On-site

Full-time

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Manager Flashbid / Dynamic Yield based in Netherlands.

This role gives you end-to-end ownership of the buy-side auction stack and proprietary wrapper powering programmatic advertising products.
You will shape the roadmap for auction performance, demand integrations, bidder management, and yield optimization.
Your work will directly influence incremental publisher revenue while improving reliability, latency, efficiency, and cost control.
You will use experimentation, analytics, and AI-driven optimization to continuously improve auction economics and performance.
The scope also includes supply-chain integrity, consent signals, and compliance across the demand ecosystem.
You will collaborate closely with Data, Engineering, Supply, Analytics, and privacy stakeholders in a fast-moving international environment.
This is a high-impact opportunity for a technically fluent product leader who sees every millisecond and basis point as a meaningful business lever.

Accountabilities
  • Own the proprietary wrapper roadmap end-to-end, including integration, evolution, maintenance, and ongoing performance improvements.
  • Monitor and optimize auction latency, reliability, and overall performance, recognizing the direct impact of milliseconds on revenue.
  • Manage publisher demand connections across GAM, external RTB, and non-OpenRTB integrations.
  • Own bidder configuration, integration, activation, monitoring, status management, and property-level whitelisting across both server-to-server and client-side environments.
  • Lead the development and optimization of ad-quality protection capabilities, identifying and blocking malicious or undesirable ads while carefully managing the revenue impact of blocking decisions.
  • Own yield-management strategies including throttling, pressure regulation, dynamic floor prices, smart refresh, and bid enrichment.
  • Partner with Data teams to develop and deploy AI-driven yield algorithms that unlock additional revenue opportunities.
  • Design and analyze structured A/B tests across floor prices, bidder mixes, throttling rules, and other auction parameters, translating results into clear product decisions.
  • Own supply-chain integrity initiatives, including SCHAIN, ads.txt management, and vendor-list curation.
  • Ensure consent signals are correctly collected, processed, and transmitted to demand partners through relevant frameworks such as TCF and GPP.
  • Collaborate with privacy stakeholders on consent quality and compliance requirements affecting the auction.
  • Partner with Analytics teams to ensure auction and yield KPIs are accurately tracked, benchmarked, and actionable.
  • Work with Supply, Data, and Engineering teams to prioritize the roadmap and deliver reliable, scalable solutions.
  • Act as the product voice for auction and yield topics, translating complex technical trade-offs into clear business priorities for senior and executive stakeholders.
Requirements
  • 4+ years of Product Management experience, ideally working on programmatic advertising, header bidding, SSPs, auction technologies, or yield-management platforms.
  • Deep knowledge of programmatic advertising, including header bidding, RTB/OpenRTB, GAM, server-to-server versus client-side bidding, and the broader SSP/DSP ecosystem.
  • Proven experience optimizing yield levers such as floor prices, throttling, bidder mix, or related auction parameters to generate incremental revenue.
  • Strong understanding of key performance metrics such as RPM, fill rate, win rate, auction latency, and revenue efficiency.
  • Familiarity with supply-chain and compliance technologies including ads.txt, sellers.json, SCHAIN validation, and consent frameworks such as TCF and GPP.
  • Strong analytical capabilities and experience designing A/B tests, interpreting auction and revenue data, and converting insights into concrete product decisions.
  • SQL knowledge is a plus.
  • Strong technical literacy, including an understanding of auction latency, bid streams, wrapper architecture, and demand integrations. Coding is not required, but you should be comfortable communicating with engineering teams.
  • A strong performance mindset, treating reliability, latency, yield, and revenue as core product metrics.
  • Excellent communication and stakeholder-management skills, with the ability to explain highly technical programmatic trade-offs and establish priorities across Technology, Supply, Data, Analytics, and leadership teams.
  • An AI-native and strategic mindset, with the ability to break down complex business problems into structured documentation, decision frameworks, logic flows, and operational blueprints that intelligent systems can execute.
  • Pragmatic and analytical approach to problem-solving, with a willingness to challenge established practices and focus on high-impact opportunities.
  • Comfortable operating in a fast-moving, hypergrowth environment where agility, prioritization, and the 80/20 principle are essential.
  • Strong listening skills, intellectual curiosity, and a continuous-improvement mindset.
Benefits
  • Fully remote working environment with flexibility to work from wherever you are most productive.
  • Access to urban office locations in Paris, Lille, or London for those who value in-person collaboration.
  • Collaborative and close-knit international team environment focused on innovation and mutual support.
  • Regular social events and team activities that encourage connection and celebrate shared achievements.
  • Opportunity to contribute to a rapidly growing technology business shaping the European digital advertising landscape.
  • Career development support through training programs, HR career check-ins, internal mobility opportunities, and regular performance feedback.
  • Comprehensive health and pension plans designed to support employees and their families.
  • Inclusive workplace committed to equal opportunities and welcoming candidates from diverse backgrounds, identities, and experiences.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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