We’re building a new MarTech intelligence platform that combines marketing analytics, predictive modeling, and AI-powered insights. We’re looking for an AI/ML Engineer who can transform raw marketing data into intelligence from predictive analytics to RAG-enabled chat experiences. This is a deeply technical, hands-on ML engineering role where you’ll work across modeling, data pipelines, and agentic AI capabilities. What You’ll Own Designing and deploying marketing prediction models (CPC/CAC/ROAS forecasting, MMM signals, etc.). Building analytics chatbots, RAG pipelines, and agentic workflows. Working closely with data and engineering to stitch AI capabilities into production. Converting marketing business logic into ML-driven insights. Core Requirements (Must-Have) 1. MarTech + Data Understanding You must be fluent in marketing data structures and analytics signals: Understanding of segmentation, attribution, MMM fundamentals. Experience with pixel-level and server-side tracking data. Strong grasp of MarTech KPIs and funnel metrics. Ability to process large-scale, multi-source marketing datasets. 2. AI/ML Engineering You should be hands-on with: Predictive analytics and time-series forecasting. Natural language or analytics-focused chatbots. RAG pipelines: retrieval, embeddings, indexing, prompt engineering. Agent-based automation workflows (CrewAI, LangGraph, or similar). Building production-grade ML pipelines and data prep workflows. 3. Backend + Integration Familiarity (Not deep expertise, but comfortable enough to work with engineering) REST/GraphQL API consumption. Working with event streams, warehousing, ETL, and transformations. Understanding of RBAC, authentication, and secure data access patterns. Bonus Points Not required, but very strong plus: Experience building WhatsApp bots or conversational engines. Ability to translate complex AI/ML outputs into simple product experiences. AWS or cloud familiarity for AI/ML deployment. Experience with gRPC or webhook-based automation triggers. What You Get Ownership of core AI features such as prediction, intelligence, automation. Ability to ship models into production on a greenfield stack. Work directly with the founder on product strategy for AI. Competitive salary + performance-based ESOP potential.
We are building a new MarTech intelligence platform from the ground up and we are looking for our first engineer to lead the technical vision and build the product end-to-end. This is hands-on architecture, systems design, and shipping real products. Youll have full ownership of the tech stack and the opportunity to shape the company from day one. What Youll Own System architecture, backend services, integrations, DevOps, and data infrastructure. Translating marketing + business logic into scalable, reliable engineering. Shipping fast while maintaining technical clarity and technical rigor. Core Requirements (Must-Have) 1. MarTech + Data Engineering You should have deep familiarity with how modern growth teams work: Practical understanding of segmentation, attribution modeling, and MMM. Experience building pixel-level + server-side tracking pipelines. Strong with MarTech analytics, performance KPIs, and funnel/reporting metrics. Integrating with external APIs: Shopify, Meta Ads, TikTok Ads, Google Ads, GA4, etc. Strong data engineering foundation: ingestion, streaming, warehousing, ETL workflows. 2. Backend & DevOps You know how to design systems that scale from day one: Experience building production-grade REST / GraphQL APIs, Webhooks, gRPC and OAuth services. Strong fundamentals in RBAC, authentication, logging, and secure API design. AWS fluency with a focus on cost-efficient deployment and observability. 3. Working Style Highly analytical, comfortable working deeply with metrics + data. Bias toward shipping and iterating quickly with clarity. Comfortable in 0 1 environments where playbooks don’t yet exist. Ability to work effectively with “vibe coding” workflows using LLMs (GPT-based development), including prompt iteration and industry-standard AI coding assistants. Bonus Points Not required, but a strong plus: Strong frontend ability: dashboards, reporting systems, clean UI/UX. Product sensibilities: ability to simplify complexity. AI / ML exposure: Predictive modeling for marketing performance RAG-based analytical chat experiences Agentic workflows or automation frameworks Experience with WhatsApp chatbots or conversational triggers. What You Get Competitive Salary and Performance Based ESOPs allocation. Technical Autonomy : you define the stack, patterns, and engineering culture. Greenfield Build : no legacy systems to fight. A chance to help build something with scale, depth, and real market pull. If you’re a hands-on builder who wants to own the first line of code, architect a product from zero, and grow into long-term technical leadership, we’d love to talk.
Were building a new MarTech intelligence platform that combines marketing analytics, predictive modeling, and AI-powered insights. We’re looking for an AI/ML Engineer who can transform raw marketing data into intelligence from predictive analytics to RAG-enabled chat experiences. This is a deeply technical, hands-on ML engineering role where you’ll work across modeling, data pipelines, and agentic AI capabilities. What You’ll Own Designing and deploying marketing prediction models (CPC/CAC/ROAS forecasting, MMM signals, etc.). Building analytics chatbots, RAG pipelines, and agentic workflows. Working closely with data and engineering to stitch AI capabilities into production. Converting marketing business logic into ML-driven insights. Core Requirements (Must-Have) 1. MarTech + Data Understanding You must be fluent in marketing data structures and analytics signals: Understanding of segmentation, attribution, MMM fundamentals. Experience with pixel-level and server-side tracking data. Strong grasp of MarTech KPIs and funnel metrics. Ability to process large-scale, multi-source marketing datasets. 2. AI/ML Engineering You should be hands-on with: Predictive analytics and time-series forecasting. Natural language or analytics-focused chatbots. RAG pipelines: retrieval, embeddings, indexing, prompt engineering. Agent-based automation workflows (CrewAI, LangGraph, or similar). Building production-grade ML pipelines and data prep workflows. 3. Backend + Integration Familiarity (Not deep expertise, but comfortable enough to work with engineering) REST/GraphQL API consumption. Working with event streams, warehousing, ETL, and transformations. Understanding of RBAC, authentication, and secure data access patterns. Bonus Points Not required, but very strong plus: Experience building WhatsApp bots or conversational engines. Ability to translate complex AI/ML outputs into simple product experiences. AWS or cloud familiarity for AI/ML deployment. Experience with gRPC or webhook-based automation triggers. What You Get Ownership of core AI features such as prediction, intelligence, automation. Ability to ship models into production on a greenfield stack. Work directly with the founder on product strategy for AI. Competitive salary + performance-based ESOP potential.
We're building a new MarTech intelligence platform from the ground up and we're looking for a Frontend Experience Intern who obsesses over clean UI, elegant UX, and delightful interfaces. You'll work closely with the founding team to translate complex marketing + analytics data into intuitive dashboards and experiences. This is a hands-on design + frontend development role with real ownership, not a side-task intern position. What You'll Own Building modern, interactive landing pages, dashboards, and reporting interfaces. Creating visually crisp, user-friendly experiences based on product + business needs. Implementing industry-standard frontend architecture and modular components. Collaborating with backend and design teams to ship polished UI. Core Requirements (Must-Have) 1. Frontend Engineering You should be strong in modern web UI development: Ability to build excellent landing pages with attention to detail. Experience creating intuitive dashboards, reports, charts, and navigation flows. Solid understanding of responsive design, accessibility, and UX best practices. Hands-on with modern frontend frameworks (React preferred). Strong CSS fundamentals layouts, animations, component styling. 2. Collaboration + Execution Ability to translate product requirements into UI flows. Comfortable iterating quickly and improving designs based on feedback. Ability to work in 0 ? 1 environments where clarity improves over time. Comfortable using AI coding assistants for rapid iteration (GPT-based workflows). Bonus Points Not required, but great to have: Experience with data visualization libraries (Recharts, D3, ECharts, etc.) Experience designing dashboards or BI-style UIs. Exposure to design tools (Figma) for refining layouts. Understanding of basic API integration for dynamic UI components. What You Get Opportunity to build real production-facing UI from day one. Mentorship from a hands-on founding team. Internship stipend + potential conversion into a full-time role. A chance to shape the visual experience of a high-impact MarTech platform.
If you have below skills, then please apply Airbyte, Airflow, SQL, Python, Snowflake, AWS Redshift, BigQuery, DBT, ELT Pipelines