Job Description & How to Apply Below
K E Y R E S P O N S I B I L I T I E S
Product Strategy & Vision
Define and drive the product vision, strategy, and roadmap for SaaS products aligned with agency growth goals
Identify and build innovative ad-tech and mar-tech solutions, including AI, analytics, automation, and campaign management platforms
Own the end-to-end product lifecycle
From ideation and MVP through to launch and continuous improvement AI & Intelligent Product Development
Lead product initiatives involving NLP, Generative AI, Transformer architectures, LLMs, embeddings, vector search, and end-to-end RAG pipelines
Work with AI/ML frameworks and orchestration tools including PyTorch, Tensor Flow, Hugging Face, Lang Chain, and Llama Index
Drive integration with vector databases and search infrastructure such as Milvus, Qdrant, Pinecone, and Weaviate, along with distributed data stores like PostgreSQL or Cassandra Platform & Infrastructure Collaboration
Partner closely with engineering on MLOps and production requirements
model deployment, monitoring, CI/CD pipelines, feature stores, and enterprise-grade scalability – Work across cloud-native infrastructure decisions involving Docker, Kubernetes, and major cloud platforms (AWS, Azure, or GCP) Execution & Stakeholder Management
Write clear PRDs, manage the product backlog, and run Agile/Scrum ceremonies with the engineering team
Collaborate with business, creative, and client teams to translate real-world needs into product decisions
Track product performance, define success metrics, and iterate based on data and user feedback
S K I L L S & R E Q U I R E M E N T S
Must-Have – 3-5 years of experience in SaaS product management, preferably in ad-tech, mar-tech, or digital platforms
Proven ability to build and scale B2B SaaS products in Agile environments
Strong understanding of advertising agency workflows, media operations, analytics, and campaign management
Hands-on experience with product roadmaps, PRDs, backlog management, and Agile/Scrum methodologies
Familiarity with cloud-based SaaS architecture, APIs, data platforms, automation tools, and dashboards
Exposure to AI-driven products, data analytics, and CRM/CDP platforms
Strategic, execution-focused mindset with strong stakeholder management and communication skills
Customer-centric, entrepreneurial approach with high ownership and the ability to thrive in a fast-paced environment
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