Jobs at Jampp

Designs and owns large-scale distributed data infrastructure, including scalable ETL processes, real-time data pipelines, data models, and machine learning inputs. The role establishes reliability standards, diagnoses systemic bottlenecks, makes architecture and tooling decisions, operates high-throughput systems, and mentors engineers. It requires deep experience with Python, AWS Big Data services, TrinoDB or PrestoDB, Docker, Kubernetes, PySpark, databases, and SQL in production environments.

Lead Jampp’s transition to deep learning and embedding-based architectures for large-scale, latency-sensitive programmatic advertising. Design, deploy, and optimize neural network models for bidding, ranking, prediction, and campaign optimization. Establish modeling and production standards, guide architecture and infrastructure decisions, mentor data scientists, and collaborate with engineering teams to build scalable training, serving, and feedback systems.

Analyze auction-level and campaign data, monitor A/B tests, and identify performance patterns across advertisers and segments. Build scalable dashboards and reporting frameworks using Looker or Tableau, automate analysis with SQL and Python, and translate machine-learning model changes into business impact across CPI, CPA, and ROAS. Partner with Data Science and ML teams to validate results, identify data-quality issues, and provide proactive business recommendations.

Design, develop, deploy, and scale Python-based machine learning features for a real-time programmatic advertising bidding platform. Evaluate statistical models, optimize performance and scalability, build model training pipelines, and develop distributed systems for low-latency predictions. Collaborate with data scientists, data engineers, and software engineers while working autonomously and contributing to technical and product decisions.

Design, develop, evaluate, and deploy deep learning and embedding-based models for real-time advertising prediction, bidding, and optimization. Work with massive, high-cardinality datasets, machine learning pipelines, feature infrastructure, and production model monitoring. Collaborate with data scientists, ML engineers, software engineers, and data engineers to translate experiments into scalable solutions and measure their impact on campaigns and business outcomes.

Build and maintain high-performance backend applications and real-time bidding systems using Python and Go. Design efficient algorithms, data structures, and scalable low-latency architectures; develop and test production features; improve system performance; collaborate with data science and infrastructure teams; and contribute to product roadmap decisions.

Own and optimize programmatic performance advertising campaigns focused on CPA, ROAS, attribution, and sustainable growth. Analyze complex campaign, data, supply, tracking, and model issues using SQL, BI tools, and AI tools. Design experiments, provide recommendations, collaborate with Customer Success, Product, and Data Science, and automate repetitive workflows to improve advertiser and team performance.

Own performance advertising strategies and campaigns, optimizing CPA, ROAS, attribution, and sustainable advertiser growth. Investigate complex issues across data, tracking, supply, models, and campaign configurations; design experiments; analyze data with SQL, BI tools, and AI; and translate findings into recommendations. Collaborate with Customer Success, Product, Data Science, and technical teams to improve advertiser outcomes, products, and operational efficiency.

Design, code, and deploy scalable machine-learning features for a low-latency programmatic advertising bidder. Evaluate statistical models, optimize scalability, build distributed systems and model-training pipelines, and support production-ready engineering. Collaborate with data scientists, data engineers, and software engineers while contributing autonomously to technical and product decisions.

This role involves owning the full sales cycle, building relationships with app advertisers, and representing Jampp at industry events to drive sales in North America.

Lead full sales cycle to drive CTV performance advertising growth in North America: prospect, close, launch and scale CTV budgets, manage key advertiser relationships, collaborate cross-functionally, represent Jampp at events (20% travel), and provide local feedback to improve global initiatives.

As the Sales Director, you will lead the full sales cycle by identifying new business opportunities, nurturing customer relationships, and representing Jampp at industry events to drive growth in North America.