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Kayzen

Senior Programmatic Trader (m/f/d)

Region Restricted

Remote work allowed only within certain countries or regions.

Europe

Employer listed it 8 days ago · Added 5 days ago

First listed 8 days ago and still open.

Salary

Not stated

Location

Europe

Timezone

CET ±2

Contract

Full-time

Experience

Senior

Category

Marketing

This employer didn't state pay. Jobs like this usually pay around $125k–$185k a year, a typical range taken from 218 senior-level marketing roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Region Restricted

Remote work is allowed, but only for candidates based in Europe.

What the employer says

  • Source listing states candidate location: "Remote in EU, Remote EMEA"
  • Job description states: "based in Argentina and other key produc"

What Nomaders makes of it

  • Timezone overlap with the listed area is often expected

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

Senior Programmatic Trader (m/f/d)

Berlin, Bangalore, Remote

________________________

Hello👋I am Willian , Trading and Analytics Lead at Kayzen, and I am now looking for a Senior Programmatic Trader to join our team 🙌

About Kayzen

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through our self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 300B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Team

The Trading team is responsible for creating growth through the management and optimization of mobile performance advertising campaigns for clients utilizing the managed service offering. The goal of the team is to deliver on the client's objectives through established or new trading best practices and communicate account status regularly and effectively with their CSM counterparts.

Why this role

In this role, you will own and grow a portfolio of mobile programmatic campaigns (UA/RT) across verticals including gaming, fintech, betting, and CTV, delivering CPA/ROAS targets while scaling FCT and protecting contribution margin. You'll pair deep trading skills with analytics (SQL must have / Python desirable. What matters most: the analytical instinct to ask the right questions and the resourcefulness to find answers, whether through code or AI tools) and LLM-accelerated workflows to move faster than a traditional desk. You won't just optimize campaigns, you'll shape the tools, analytical frameworks, and trading playbooks the team uses to win.

What you’ll do

Trading excellence

Own end-to-end campaign delivery across multiple advertisers; hit KPI targets (CPA, ROAS, retention) and scale when unit economics allow.

Develop audience targeting strategies and supply-side optimization (audience, publisher selection, bid shading, dayparting) across ad formats (banner, video, native, CTV) to unlock incremental scale.

Build and execute testing roadmaps (optimization models, bids, budgets, frequency, creatives, geos, etc.) to drive incremental lift.

Manage pacing, budget allocation, and risk across an account book, proactively mitigating under-delivery.

Understand mobile attribution dynamics (postback flows, attribution windows, deterministic vs probabilistic matching, iOS privacy frameworks) and how they shape bidding strategy, audience targeting, and performance interpretation across MMPs.

Champion process improvements, author tools/queries, and mentor juniors to raise team throughput.

Analytics & automation

Dive into log-level and aggregated data to diagnose performance; write production-grade SQL (joins, CTEs, window functions) and Python/pandas analyses (or sharp use of AI)

Design and interpret tests, translating findings into the Trading Playbook.

Leverage LLMs (GPT/Claude) to automate recurring analyses (bid curves, cohort reads, anomaly triage), create data briefs, and draft experiments.

Contribute to internal dashboards and trading intelligence tools that accelerate decision-making across the team.

Cross-functional impact

Requirements

  • ·3–5 years of programmatic ad buying experience; mobile in-app DSP experience preferred.
  • ·Hands-on with MMPs (AppsFlyer, Adjust, Singular), postback flows, fraud detection, and reporting tools.
  • ·Data-driven decision making; comfortable building and modifying SQL queries (joins, CTEs, window functions a plus). Familiarity with BI tools. Familiarity with AI is a must.
  • ·Nice-to-have: Python/pandas for ad-hoc analyses and light automation; experience is a plus but not required.
  • ·Nice-to-have: CTV/OTT programmatic buying experience.

Benefits

  • ·Competitive compensation with a performance-based component
  • ·Exceptional career growth. Shape trading playbooks, product, mentor junior traders, and influence the tools and analytical frameworks the team builds around you.
  • ·A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
  • ·A high degree of responsibility and independence
  • ·Direct, day-to-day work with the management

How to apply

  1. 1Check the flexibility label above, region restricted, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Kayzen, mentioning your remote working experience and working hours (CET ±2).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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