Reports to: Sr. Vice President of AI Platform

Department: Product

FLSA Category: Exempt

Position Type: Full-Time, Senior level

Travel Requirement: 0-10%, Quarterly for meetings

Office Location: Remote, US Based

JOB SUMMARY

We are a next-generation, AI-powered MarTech and AdTech startup focused on unlocking enterprise-grade marketing intelligence for small and medium-sized businesses (SMBs). Our platform is built on LLMs, agentic AI frameworks, and proprietary data-driven systems that scale performance, personalization, and automation across the marketing lifecycle.

 As Architect of AI-Data Platform, you will lead the architecture and build-out of our unified, cloud-native data platform, serving as the foundational layer for all AI, ML, and agentic system operations. This role is pivotal in establishing the real-time and batch data infrastructure required to power our recommendation engines, attribution models, customer journey analytics, and LLM pipelines.

You will work closely with AI/ML engineers, data scientists, and product leadership to build high performance pipelines, streaming architectures, and data reliability systems that enable intelligent agent interoperability at scale.

 

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

• Architect and scale a unified data platform to serve AI/ML, analytics, and product needs across MarTech and AdTech verticals.
• Actively contribute code to core infrastructure components, including data pipelines, orchestration layers, and real-time streaming systems.
• Serve as a player-coach, balancing architectural leadership with hands-on implementation of critical systems.
• Lead by example in writing clean, scalable, and production-grade code in Python, SQL, and infrastructure-as-code tools.
• Lead the development of real-time data streaming infrastructure (Kafka, Spark, or equivalent) for ingesting, processing, and enriching cross-channel customer events.
• Implement robust data replication, versioning, and lineage frameworks to ensure reliability and traceability for AI-driven workflows.
• Establish and oversee robust data governance practices, including Master Data Management (MDM) for core business entities.
• Build and manage highly available, low-latency pipelines for embedding generation, RAG pipelines, and agentic retrieval systems.
• Serve as the technical owner of our data Lakehouse architecture (Databricks, Delta Lake) and transactional store layer (PostgreSQL, Redis, etc.)
• Partner with the AI team to optimize data flows for agent-to-agent orchestration, LLM context enrichment, and streaming model evaluation.
• Drive data governance, security, and compliance strategies while enabling rapid iteration and experimentation.
• Establish and evangelize best practices in DataOps and platform monitoring to support high-velocity releases.
• Ensure data quality, lineage, and observability through versioned, immutable event logs, data cataloging, and end-to-end tracking across the data ecosystem.
• Mentor and scale a world-class data engineering team aligned with the roadmap and product growth phases.

 

KNOWLEDGE, SKILLS, ABILITIES, AND QUALIFICATIONS

• 10+ years in data engineering or platform roles, with 5+ years in technical leadership or executive-level positions.
• Bachelor's degree in engineering, computer science or equivalent. Master's degree preferred.
• Proven experience building cloud-native data infrastructure (AWS, GCP, or Azure)
• Deep understanding of distributed systems, real-time stream processing (Kafka, Flink, or Spark Streaming)
• Strong command of batch and micro-batch data pipelines, preferably using Databricks, Airflow, or similar orchestration tools.
• Experience designing data layers for ML training/inference, RAG retrieval, and LLM memory architecture.
• Comfortable being deep in the codebase while also setting architectural direction.
• Expertise in data modeling, replication, and versioning for large-scale event-driven systems.
• Proficiency with SQL, Python, and modern data tooling (Delta Lake, Iceberg, dbt, etc.)
• Bonus: Familiarity with agentic system design, context pipelines, or semantic search/embedding workflows.
• Excellent leadership, communication, and collaboration skills across technical and non-technical teams.

Why Join Us?

• Help architect the core data backbone of a GenAI-native platform from the ground up.
• Collaborate directly with C-level leadership to influence product direction and technical strategy.
• Be part of a mission-driven company transforming how AI powers marketing for SMBs.
• Work in a startup environment where innovation, speed, and experimentation are encouraged.
• Shape how LLM-driven agents interact with real-time, dynamic, and intelligent data streams.

PHYSICAL REQUIREMENTS/WORKING CONDITIONS:

Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.

Climbing/Stooping/Kneeling: 0% - 10% of the time.

Lifting/Pulling/Pushing: 0% - 10% of the time.

Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time.

Sitting: Sitting for prolonged and extended periods of time.

 

This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned.  Management may revise duties as necessary without updating this job description.

 

For more information about the company, please visit our website: https://clarvos.com/

Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class.

Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities.

If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to hrsupport@Clarvos.com.