Engineering Manager

Who We Are & Why Join Us

Avathonis the leading Industrial AI autonomy platform helping customers across heavy industries -- energy mining manufacturing aerospace defense and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems bringing together time series structured unstructured and machine vision data to power AI-driven applications in asset performance management supply chain intelligence visual AI and global trade management. With capabilities spanning digital twins normal behavior modeling natural language processing and computer vision Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Cutting-Edge AI Innovation-- Join a team at the forefront of AI developing groundbreaking solutions that shape the future.High-Growth Environment-- Thrive in a fast-scaling startup where agility collaboration and rapid professional growth are the norm.Meaningful Impact-- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at:

About the Role

As an Engineering Manager at Avathon you will lead the design and delivery of scalable data infrastructure and AI platforms powering industrial intelligence solutions. You will drive cloud-native architectures production-grade data pipelines and AI-ready systems that enable advanced analytics and Generative AI applications. Partnering with Engineering Product and Applied Science teams you will translate complex industrial challenges into secure scalable technology solutions while shaping Avathons platform engineering strategy. With 5-7 years of experience including team leadership you will build and grow a high-performing engineering team across onshore and offshore locations.

You Will

• Build and lead an engineering team responsible for Avathons data and AI platform infrastructure
• Architect scalable industrial data platforms capable of handling high-velocity IoT and telemetry streams
• Design resilient real-time and batch data pipelines that power predictive maintenance anomaly detection and optimization use cases
• Establish MLOps frameworks to support continuous model training deployment and monitoring
• Partner with AI/ML Product and Service Engineering teams to deliver production-ready solutions to customers
• Ensure seamless production handoffs with strong documentation observability and SLAs
• Drive cloud infrastructure DevOps best practices and security compliance standards
• Scale engineering processes for multi-customer deployments in regulated and government environments

Youll Have

• 5-7 years of experience in software engineering data engineering or AI platform engineering
• 2 years leading technical teams (onshore offshore preferred)
• Experience designing cloud-native data architectures across AWS GCP or Azure
• Strong experience with:
  • Distributed data processing (Spark Databricks)
  • Streaming technologies (Kafka Kinesis IoT Core)
  • Workflow orchestration (Airflow Dagster Prefect)
  • Containerization and orchestration (Docker Kubernetes)
• Experience building and operating production MLOps systems including CI/CD for ML model registry experiment tracking and drift detection
• Strong programming expertise in Python and Django
• Familiarity with React frontend development
• Experience with CI/CD pipelines (Travis CI Jenkins)
• Experience working with large-scale time-series or industrial telemetry data
• Solid understanding of system reliability fault tolerance and high-availability architectures
• Experience managing projects with customer-facing delivery components
• Excellent cross-functional communication skills

Preferred Qualifications

• Experience in industrial AI manufacturing energy utilities or government sectors
• Exposure to edge computing architectures and data ingestion from industrial systems (OPC UA Modbus Ignition PI Historian)
• Experience working with secure or regulated cloud environments including on-prem and air-gapped deployments
• Familiarity with data governance and compliance frameworks
• Understanding of predictive maintenance or asset performance use cases
• Experience with LLM observability and evaluation tooling in production environments
• Knowledge of graph databases or knowledge graph platforms

Interview Process

As part of the interview process you will be asked to complete a technical take-home challenge.

Benefits & Perks

What are the benefits and perks at Avathon Below are some highlights we offer to our U.S. full-time employees -- wed love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range:$180k - $210k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge skills and experience.

Location:This role is not remote. Candidates must be based in the Bay Area CA and are expected to report to our Pleasanton office 5 days a week.