Kayzen
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Remote India
Hello👋I am Ashish, Product Operations Lead at Kayzen, and I am now looking for a Product Analyst to join our team 🙌
But wait, you have not heard of Kayzen before?😃
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 its 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 160B+ 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 Product Analytics team sits at the intersection of data, product, business and engineering. We are a highly motivated group aligned in our quest to disrupt the multi-billion dollar ad-tech industry. You will collaborate with a carefully selected, diverse, and globally distributed team spanning customer success, engineering, data science, design, product and more.
Why This Role
As our Product Analyst, you will own the analytical layer that keeps our product honest and fast. You will pair deep product intuition with strong SQL skills and AI-accelerated workflows to diagnose issues, surface insights, and move faster than a traditional analyst role. This is not just about building dashboards — you will shape how we understand our product, automate recurring investigation work with LLM tools, and directly influence product and engineering decisions with data. If you love going deep on complex systems, debugging hard problems, and turning ambiguous data into clear action, this is your seat.
What You'll Do
Data Analysis & Insights
- Apply a broad range of analytical techniques to derive actionable insights from rich product and event data
- Work closely with the product team as a data-driven advisor and partner on strategic decisions and roadmap prioritisation
- Conduct deep-dive analyses on product performance, user behaviour, and funnel metrics to identify improvement opportunities
- Translate complex data findings into clear, concise narratives for technical and non-technical stakeholders
Product Support & Debugging
- Serve as the go-to person to analyse, debug, and resolve product issues in collaboration with engineering, Product and Business
- Go deep into complex customer-facing issues, identify root causes in data, and drive resolution with product and engineering teams
- Become a product and domain expert in RTB (Real-Time Bidding) and the broader programmatic advertising ecosystem
Automation & AI-Powered Workflows
- Leverage LLMs (GPT/Claude and similar tools) to automate recurring analyses, anomaly triage, data briefs, and BI request resolution — this is a mandatory part of how we work
- Build and maintain tools, scripts, and automated pipelines that reduce manual investigation effort and speed up response times
- Manage and resolve Business Intelligence requests; develop reusable tools to automate high-frequency reporting needs
- Contribute to internal dashboards and analytical tooling that accelerate decision-making across teams
Cross-Functional Collaboration
- Partner with engineering, data, customer success, and product teams on data-related initiatives and ad-hoc investigations
- Provide ideas and quantified feedback for product and process improvement
- Champion data quality, accuracy, and a culture of evidence-based decision-making across the organisation
Requirements
- 2+ years of AdTech industry experience in a data, analytics, or product analyst role
- Excellent SQL skills: comfortable writing complex queries including joins, CTEs, window functions, and aggregations against large datasets
- Hands-on experience with BI and data exploration tools (e.g. Redash, Looker, Metabase, or similar)
- Active user of AI tools (GPT, Claude, or similar) for analytical automation, data summarisation, and workflow acceleration.
- Strong analytical and troubleshooting skills with a structured, hypothesis-driven approach to problem-solving
- High attention to detail and commitment to data accuracy and quality of output
- Ability to work collaboratively in a cross-functional, globally distributed team environment
- Self-starter mindset with goal-driven focus and resilience in a high-pressure, deadline-driven environment
- Passion for building great products and creating excellent experiences for customers
Nice to Have
- Python / pandas for ad-hoc analyses and light automation — not required, but a strong differentiator
- Familiarity with mobile attribution and measurement (AppsFlyer, Adjust, Singular)
- Familiarity with HTML/Rich media creatives
What do we offer?
- Exceptional career growth and learning opportunity
- A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
- Direct, day-to-day work experience with the management
- A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries
- A flexible work-from-home arrangement
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget
Ready to apply?
Apply to Kayzen
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
- Partner with CSM/Sales on growth plans and QBRs; influence Product with crisp, quantified feedback; collaborate with Supply on inventory quality.
- Work with DS/DA on model inputs, new testing hypotheses or model improvements, and with Product Support to quickly unblock delivery.
Since I am based in Argentina and other key product and customer success team members are located mostly across EMEA and India, we are open to a remote setup of this position. For optimal overlap with customers’ time zones and internal teams your main working location should preferably be close to the CET time zone.
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.
- Solution orientation and drive to succeed.
- Communication: crisp written analysis and cross-team collaboration. Client-facing confidence preferred.
What do we offer?
- 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
- A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Spain, the UK and many more countries
- A flexible work-from-home arrangement
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget
Ready to apply?
Apply to Kayzen
Performance Campaign Analyst (m/f/d)
Berlin, Bangalore, Remote
________________________
Hello👋I am Willian, Trading and Analytics Lead at Kayzen, and I am now looking for a Performance Campaign Analyst 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
This is a hands-on trading role where you'll manage mobile programmatic campaigns across verticals like gaming, fintech, and betting, optimizing toward CPA/ROAS targets while learning to scale efficiently. You'll work closely with senior traders and cross-functional partners, gaining exposure to advanced analytics, LLM-powered workflows, and trading strategies that go well beyond what most desks offer at this level. If you're analytical, curious about automation, and want to accelerate your programmatic career, this is the role for you.
What you’ll do
Trading excellence
- Manage day-to-day campaign optimization across a set of advertisers; monitor and hit KPI targets (CPA, ROAS, retention) with guidance from senior traders.
- Execute supply-side and audience optimization tactics including publisher management, bid adjustments, and dayparting across ad formats (banner, video, native, CTV).
- Run A/B tests on bids, budgets, creatives, and geos as part of broader testing roadmaps; document results and contribute learnings to the Trading Playbook.
- Monitor pacing and budget allocation daily, flagging risks and under-delivery proactively.
- Build a working understanding of mobile attribution (postback flows, attribution windows, MMP integrations) and how attribution models affect how we measure and optimize campaign performance.
Analytics & automation
- Use SQL to pull and analyze campaign data from internal databases; build comfort with joins, CTEs, and window functions over time.
- Learn to leverage LLMs (GPT/Claude) for recurring analyses, data briefs, and performance diagnostics, this is a core part of how our team works.
- Support the creation and maintenance of dashboards and reporting tools used by the trading team.
- Develop your analytical instincts: learn to ask the right questions, understand what's driving performance, and use available tools (SQL, AI, BI tools) to find answers.
Cross-functional impact
- Work with CSMs to understand client goals and communicate campaign status clearly.
- Support QBR preparation and client-facing deliverables alongside senior traders.
- Collaborate with Product Support to troubleshoot delivery issues and with Supply on inventory quality questions.
Since I am based in Argentina and other key product and customer success team members are located mostly across EMEA and India, we are open to a remote setup of this position. For optimal overlap with customers’ time zones and internal teams your main working location should preferably be close to the CET time zone.
Requirements
- 1–3 years of programmatic ad buying, ad operations, or adjacent adtech experience.
- Familiarity with MMPs (AppsFlyer, Adjust, Singular) and attribution concepts; hands-on experience preferred.
- Analytical mindset; basic SQL ability or a demonstrated willingness to learn quickly.
- Curiosity about AI and automation — you don't need to be an expert, but you should be excited to use LLMs as part of your daily workflow.
- Nice-to-have: Any exposure to Python, CTV/OTT, or mobile in-app DSP platforms.
- Solution-oriented with a bias toward action.
- Clear communicator who's comfortable asking questions and collaborating across teams.
What do we offer?
- Competitive compensation with a performance-based component
- Exceptional career growth and learning possibilities — you'll be mentored by experienced traders and exposed to advanced workflows (LLMs, ClickHouse, audience strategy) earlier than at most organizations
- 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
- A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Spain, the UK and many more countries
- A flexible work-from-home arrangement
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget
Ready to apply?
Apply to Kayzen
Growth Analyst (m/f/d)
Berlin, Bangalore, Remote
________________________
Hello👋I am Willian, Trading and Analytics Lead at Kayzen, and I am now looking for a Growth Analyst 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
This is a hands-on trading role where you'll manage mobile programmatic campaigns across verticals like gaming, fintech, and betting, optimizing toward CPA/ROAS targets while learning to scale efficiently. You'll work closely with senior growth analysts and cross-functional partners, gaining exposure to advanced analytics, LLM-powered workflows, and trading strategies that go well beyond what most desks offer at this level. If you're analytical, curious about automation, and want to accelerate your programmatic career, this is the role for you.
What you’ll do
Trading excellence
- Manage day-to-day campaign optimization across a set of advertisers; monitor and hit KPI targets (CPA, ROAS, retention) with guidance from senior growth analysts.
- Execute supply-side and audience optimization tactics including publisher management, bid adjustments, and dayparting across ad formats (banner, video, native, CTV).
- Run A/B tests on bids, budgets, creatives, and geos as part of broader testing roadmaps; document results and contribute learnings to the Trading Playbook.
- Monitor pacing and budget allocation daily, flagging risks and under-delivery proactively.
- Build a working understanding of mobile attribution (postback flows, attribution windows, MMP integrations) and how attribution models affect how we measure and optimize campaign performance.
Analytics & automation
- Use SQL to pull and analyze campaign data from internal databases; build comfort with joins, CTEs, and window functions over time.
- Learn to leverage LLMs (GPT/Claude) for recurring analyses, data briefs, and performance diagnostics, this is a core part of how our team works.
- Support the creation and maintenance of dashboards and reporting tools used by the trading team.
- Develop your analytical instincts: learn to ask the right questions, understand what's driving performance, and use available tools (SQL, AI, BI tools) to find answers.
Cross-functional impact
- Work with CSMs to understand client goals and communicate campaign status clearly.
- Support QBR preparation and client-facing deliverables alongside senior growth analysts.
- Collaborate with Product Support to troubleshoot delivery issues and with Supply on inventory quality questions.
Since I am based in Argentina and other key product and customer success team members are located mostly across EMEA and India, we are open to a remote setup of this position. For optimal overlap with customers’ time zones and internal teams your main working location should preferably be close to the CET time zone.
Requirements
- 1–3 years of programmatic ad buying, ad operations, or adjacent adtech experience.
- Familiarity with MMPs (AppsFlyer, Adjust, Singular) and attribution concepts; hands-on experience preferred.
- Analytical mindset; basic SQL ability or a demonstrated willingness to learn quickly.
- Curiosity about AI and automation — you don't need to be an expert, but you should be excited to use LLMs as part of your daily workflow.
- Nice-to-have: Any exposure to Python, CTV/OTT, or mobile in-app DSP platforms.
- Solution-oriented with a bias toward action.
- Clear communicator who's comfortable asking questions and collaborating across teams.
What do we offer?
- Competitive compensation with a performance-based component
- Exceptional career growth and learning possibilities — you'll be mentored by experienced growth analysts and exposed to advanced workflows (LLMs, ClickHouse, audience strategy) earlier than at most organizations
- 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
- A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Spain, the UK and many more countries
- A flexible work-from-home arrangement
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget
Ready to apply?
Apply to Kayzen
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 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
This is a hands-on trading role where you'll manage mobile programmatic campaigns across verticals like gaming, fintech, and betting, optimizing toward CPA/ROAS targets while learning to scale efficiently. You'll work closely with senior traders and cross-functional partners, gaining exposure to advanced analytics, LLM-powered workflows, and trading strategies that go well beyond what most desks offer at this level. If you're analytical, curious about automation, and want to accelerate your programmatic career, this is the role for you.
What you’ll do
Trading excellence
- Manage day-to-day campaign optimization across a set of advertisers; monitor and hit KPI targets (CPA, ROAS, retention) with guidance from senior traders.
- Execute supply-side and audience optimization tactics including publisher management, bid adjustments, and dayparting across ad formats (banner, video, native, CTV).
- Run A/B tests on bids, budgets, creatives, and geos as part of broader testing roadmaps; document results and contribute learnings to the Trading Playbook.
- Monitor pacing and budget allocation daily, flagging risks and under-delivery proactively.
- Build a working understanding of mobile attribution (postback flows, attribution windows, MMP integrations) and how attribution models affect how we measure and optimize campaign performance.
Analytics & automation
- Use SQL to pull and analyze campaign data from internal databases; build comfort with joins, CTEs, and window functions over time.
- Learn to leverage LLMs (GPT/Claude) for recurring analyses, data briefs, and performance diagnostics, this is a core part of how our team works.
- Support the creation and maintenance of dashboards and reporting tools used by the trading team.
- Develop your analytical instincts: learn to ask the right questions, understand what's driving performance, and use available tools (SQL, AI, BI tools) to find answers.
Cross-functional impact
- Work with CSMs to understand client goals and communicate campaign status clearly.
- Support QBR preparation and client-facing deliverables alongside senior traders.
- Collaborate with Product Support to troubleshoot delivery issues and with Supply on inventory quality questions.
Since I am based in Argentina and other key product and customer success team members are located mostly across EMEA and India, we are open to a remote setup of this position. For optimal overlap with customers’ time zones and internal teams your main working location should preferably be close to the CET time zone.
Requirements
- 1–3 years of programmatic ad buying, ad operations, or adjacent adtech experience.
- Familiarity with MMPs (AppsFlyer, Adjust, Singular) and attribution concepts; hands-on experience preferred.
- Analytical mindset; basic SQL ability or a demonstrated willingness to learn quickly.
- Curiosity about AI and automation — you don't need to be an expert, but you should be excited to use LLMs as part of your daily workflow.
- Nice-to-have: Any exposure to Python, CTV/OTT, or mobile in-app DSP platforms.
- Solution-oriented with a bias toward action.
- Clear communicator who's comfortable asking questions and collaborating across teams.
What do we offer?
- Competitive compensation with a performance-based component
- Exceptional career growth and learning possibilities — you'll be mentored by experienced traders and exposed to advanced workflows (LLMs, ClickHouse, audience strategy) earlier than at most organizations
- 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
- A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Spain, the UK and many more countries
- A flexible work-from-home arrangement
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget
Ready to apply?
Apply to Kayzen