Kayzen

Trader

• 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.
• 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.
• 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.

Senior Programmatic Trader

Growth Marketing

• 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.
• 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.
• 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.

Growth Analyst

Customer Success Manager

• Form a deep understanding of the client’s business & goals
• Provide DSP advisory and strategic consultation from the onboarding phase
• Maintain detailed internal documentation of client information (Hubspot), interactions (call notes), feature requests (product wishlist), and campaign strategies
• Conduct engaging and informative Quarterly Business Reviews focusing on learnings, growth opportunities, and evangelizing on product roadmap
• Co-manage and optimize campaigns with the Client or Trading team, analyzing aggregate performance and log-level data to improve strategies.
• Report on account progress weekly / bi-weekly to internal and external stakeholders (client, PSS Lead, Product teams, etc)
• Set and achieve monthly and quarterly growth and milestone targets together with your Team Lead.
• Owning end-to-end client success and results through proactive optimizations, troubleshooting, and coordination
• Proactively identify and address emerging client needs
• Work closely with the product team on enhancements based on client feedback.
• Efficiently troubleshoot issues and communicate them to the product and technical teams
• Provide regular feedback to management about client needs, market & competitor intelligence

Customer Success Manager – Media Buyers

Data Scientist

• Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data.
• Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms.
• Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively.
• Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain.
• A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies.

Full-stack Engineer

• Design, build, and maintain high-quality features across the Fullstack stack, from UI to API integration
• Write clean, well-tested, production-ready code and actively participate in code reviews
• Collaborate closely with Product, Design, QA, and Backend teams to deliver cohesive, user-centric features
• Contribute to technical decisions around architecture, tooling, and best practices within the team
• Take ownership of features end to end, from planning through deployment and monitoring
• Integrate AI-powered coding agents and automated LLM-based testing into your daily development cycle
• Contribute to building 'AI-First' UI patterns, working alongside the LLM Platform team on generative, prompt-driven interfaces
• Stay current with emerging AI-assisted development tools and bring relevant ones back to the team
• Break down assigned product requirements into clear, actionable engineering tasks
• Deliver work reliably within sprint commitments, flagging blockers or scope changes early
• Balance new feature delivery with addressing technical debt in the codebase you work on

Senior Programmatic Trader

Growth Analyst

Customer Success Manager – Media Buyers

Data Scientist

Fullstack Engineer