Marseer Ai
https://marseerai.comAbout
Marseer AI deploys AI agents across email, paid social, SEO, affiliate, and creator marketing—so lean DTC teams can execute with enterprise-level sophistication.
Candid answers by the company
Fully remote, India based. Hyderabad Candidates preferred.
Company social profiles
Jobs at Marseer Ai
About Marseer AI
Marseer AI (www.marseerai.com) is a modular AI activation platform built for DTC and retail e-commerce brands. damStack is Marseer AI's Snowflake-native, dbt-driven data and marketing activation product. It follows a Listen -> Reflect -> React architecture across composable applications, each running inside a customer's own Snowflake data warehouse.
Role Overview
We are looking for a Senior Data Engineer to join the damStack engineering team at Marseer AI. You will design and implement data pipelines, dbt transformation models, and Snowflake-native data products for retail and e-commerce brands. This is a hands-on, high-ownership role across ingestion, transformation, activation workflows, and client onboarding.
What You Will Do
- Design, build, and maintain dbt models across staging, intermediate, and mart layers for customer identity, segmentation, journey orchestration, and activation outputs.
- Implement incremental dbt models, snapshots, and tests to ensure data freshness, accuracy, and reliability.
- Contribute to damStack's Open Schema and unified customer_360 semantic layer.
- Build and refine SQL-based rule engines in Snowflake for priority resolution, frequency capping, and activation orchestration.
- Configure and manage Airbyte connectors for bidirectional data sync such as MongoDB to Snowflake and Snowflake to Klaviyo.
- Build and maintain Dagster pipelines to orchestrate dbt runs, Airbyte sync jobs, and cross-pipeline dependencies.
- Support integration of external marketing platforms into the damStack data layer.
- Work directly with client brands to understand data sources, schemas, and business requirements.
- Translate client data into damStack's standardized activity schema and entity resolution framework.
- Troubleshoot data quality and integration issues in client environments.
- Contribute to single-tenant Snowflake deployments, data quality tests, monitors, alerting, and technical design documentation.
Requirements
- 5+ years of professional experience in data engineering.
- Advanced proficiency in dbt Core or Cloud, including incremental models, snapshots, tests, macros, and multi-layer DAG design.
- Strong hands-on Snowflake experience, including DDL/DML, Snowflake Tasks, query optimization, and multi-tenant data architecture.
- Expert-level SQL, including window functions, CTEs, complex joins, and performance tuning.
- Ability to communicate pipeline designs and technical decisions clearly to technical and non-technical stakeholders.
Strongly Preferred
- Experience with Airbyte or comparable ELT / connector platforms.
- Familiarity with Dagster or similar orchestration tools such as Airflow or Prefect.
- Prior experience in a SaaS or data product company shipping reusable, multi-tenant data infrastructure.
- Understanding of identity resolution patterns, surrogate key architectures, customer data platforms, or experimentation / A/B testing data pipelines.
Good to Have
- Familiarity with Klaviyo or other marketing activation / ESP platforms.
- Experience with MongoDB or document-store integrations.
- Prior experience in retail or e-commerce data domains.
What We Are Looking For
- Availability for US business hours, with at least 5 hours of overlap with America/New_York.
- Ownership mindset, attention to schema naming, test coverage, documentation, and reliable pipelines.
- Collaborative, structured communication with a distributed team.
What We Offer
- Compensation range: INR 20-30 LPA.
- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.
- High-ownership engineering work on Snowflake, dbt, Airbyte, and Dagster.
- Direct exposure to real DTC and retail e-commerce data problems at scale.
- A small, senior team where your contributions are visible.
Python
React.js
NextJs (Next.js)About Marseer AI
Marseer AI (www.marseerai.com) is a Seattle-based company building an AI-powered marketing intelligence platform for DTC and retail e-commerce brands. The platform combines brand strategy, customer data, automation, and generative AI to help marketing teams drive consistent, data-driven engagement across email, SMS, paid media, SEO, and affiliate channels.
Role Overview
We are looking for an experienced AI Engineer - Full Stack Developer to join the Marseer platform team. This is a dual-track role: you will build and maintain AI agent pipelines, LLM integrations, and RAG-based intelligence systems on the backend, while also owning frontend interfaces that surface insights, recommendations, and campaign outputs to marketing teams and brand operators.
You should be equally comfortable designing multi-step agentic workflows in Python and building clean, responsive product interfaces in React/Next.js. You understand how LLMs behave in production, know how to engineer prompts and tool chains for reliability, and care deeply about the end-to-end user experience.
What You Will Do
- Design and implement multi-step AI agent workflows using LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar.
- Build and maintain RAG pipelines, including chunking strategies, embedding generation, vector store management, and retrieval tuning.
- Integrate with LLM providers such as OpenAI, Anthropic, or others, including prompt engineering, tool/function calling, structured output generation, and context window management.
- Develop AI-driven features such as campaign brief generation, audience recommendations, content variant creation, and performance insight summarization.
- Implement evaluation and observability frameworks to monitor LLM output quality, latency, and cost in production.
- Build frontend interfaces using React and Next.js, including dashboards, agent interaction UIs, campaign builders, and insight surfaces.
- Design and implement RESTful and/or GraphQL APIs in Python (FastAPI or Flask) or Node.js to serve AI outputs to the frontend.
- Integrate frontend with backend AI services, streaming LLM responses, and real-time status updates.
- Work with structured and unstructured marketing data, campaign performance metrics, audience segments, content libraries, and brand strategy documents.
- Integrate with marketing platforms and data sources such as Klaviyo, Google Ads, Meta, and Shopify.
Requirements
- 5-10 years of professional software engineering experience, with meaningful time in both backend and frontend development.
- Proven experience building and deploying LLM-powered applications in production, not just prototypes.
- Strong proficiency in Python for backend and AI development.
- Strong proficiency in React and Next.js for frontend development.
- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
- Experience building RAG pipelines, vector stores such as Pinecone, Weaviate, pgvector, or similar, embedding models, and retrieval strategies.
- Experience with API design, REST or GraphQL, and backend service architecture.
Strongly Preferred
- Experience designing and building multi-agent or agentic AI systems with tool use, memory, and planning capabilities.
- Familiarity with prompt engineering best practices, structured output generation, and LLM evaluation methodologies.
- Experience with streaming LLM responses and real-time UI updates using SSE or WebSockets.
- Prior work in a SaaS product company shipping production features.
- Familiarity with marketing platforms, e-commerce data, or martech ecosystems.
Good to Have
- TypeScript and modern frontend tooling such as Tailwind CSS or shadcn/ui.
- Familiarity with Snowflake or other cloud data warehouses as data sources for AI pipelines.
- Experience with observability tools for LLM applications such as LangSmith, Helicone, Arize, or similar.
- Understanding of marketing concepts such as segmentation, campaign lifecycle, attribution, and content personalization.
What We Are Looking For
- Availability to work US business hours; overlap with US Eastern or Pacific timezone is required for client collaboration and team standups.
- Strong written and verbal English communication.
- Product sense and ownership mindset.
- Comfort with ambiguity in non-deterministic LLM-powered systems.
- Collaborative working style across engineering, design, and client-facing functions.
What We Offer
- Competitive compensation based on experience.
- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.
- High-impact work at the frontier of applied AI for marketing and e-commerce.
- Direct exposure to real brand problems, real data, and real production AI systems.
- A small, senior team where your architecture decisions matter and your contributions are visible.
Similar companies
About the company
Credilio is founded with the idea of digitizing the distribution value chain of personal finance products. The mission of Credilio is to create a nationwide army of multi-branded trained advisors who can assist in the digital onboarding of loans and cards. Credilio enables a small financial advisor to educate customers and recommend lending products that are best suited to meet their unique requirements and further enables them to subscribe for credit cards or loans digitally.
The company does this by providing a large range of product offerings and a customized recommendation tool through a simple mobile app that empowers advisors to be truly digital and future-ready. In addition, the platform allows for instant online approval by leveraging open banking APIs of Banks and NBFCs, thus making the purchase process transparent and paperless. It has reduced the average prospecting-to-onboarding time to less than 10 minutes in a single session as compared to the industry average of an interrupted process over 2-3 days.
A challenger start-up, Credilio is the brainchild of second-time entrepreneurial duo Mr. Aditya Gupta and Mr. Anand Kapadia. It’s backed by a clutch of Venture Capital funds namely Cornerstone Venture Capital Partners, Exfinity Venture Partners, and Param Capital founder Mukul Agarwal.
The platform currently partners with 20+ leading Banks and NBFCs and has over 10,000 Financial Advisors who have assisted more than 0.5 million customer applications getting processed fully digitally in a span of less than a year. The capital raised will power Credilio’s ambitious plans to meet an ARR of 100 cr. by March 2023 and serve 25 million customers through a million advisors in the next 3 years.
Jobs
4
About the company
Deep Tech Startup Focusing on Autonomy and Intelligence for Unmanned Systems. Guidance and Navigation, AI-ML, Computer Vision, Information Fusion, LLMs, Generative AI, Remote Sensing
Jobs
5
About the company
Asha Health is a Y Combinator backed AI healthcare startup. We help medical practices spin up their own AI clinic. We've raised an oversubscribed seed round backed by top Silicon Valley investors, and are growing rapidly. Our team consists of AI product experts from companies like Google, as well as senior physician executives from major health systems.
Jobs
2
About the company
TradeLab is a leading fintech technology provider, delivering cutting-edge solutions to brokers, banks, and fintech platforms. Our portfolio includes high-performance Order & Risk Management Systems (ORMS), seamless MetaTrader integrations, AI-driven customer engagement platforms such as PULSE LLaVA, and compliance-grade risk management solutions. With a proven track record of successful deployments at top-tier brokerages and financial institutions, TradeLab combines scalability, regulatory alignment, and innovation to redefine digital broking and empower clients in the capital markets ecosystem.
Jobs
23
About the company
Jobs
11
About the company
Jobs
1
About the company
www.juliet.space
Agentic AI Coding
Jobs
1
About the company
Jobs
3
