Implementation Engineer

AvathonPleasanton, CA
8h

About The Position

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension—all tailored to the complexities of industrial environments. 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: Avathon We are seeking an Implementation Engineer who will be at the forefront of driving client success. This is a highly visible, client-facing role requiring a mix of technical expertise, project management skills, and customer relationship management. You will work closely with customers and internal teams—including Sales, Product, Engineering, and Data Science—to ensure smooth deployment, adoption, and value capture of Avathon’s AI solutions.

Requirements

  • 5–8 years of experience in project/program management or technical implementation, ideally with SaaS or AI solutions.
  • Strong technical understanding of AI, machine learning, data integration, application development, and infrastructure deployment.
  • Experience with project management methodologies and tools, able to manage multiple projects simultaneously.
  • Excellent communication and stakeholder management skills; able to translate technical concepts for business audiences.
  • Customer-centric mindset with a passion for driving adoption, success, and value realization.
  • Strong analytical, problem-solving, and critical-thinking skills.

Nice To Haves

  • Domain experience in Energy, Manufacturing, Supply Chain, or related industries is a plus.

Responsibilities

  • Project Leadership & Execution: Lead implementation engagements, coordinating with cross-functional teams to deliver projects successfully.
  • Client Relationship Management: Build strong, trusted relationships with customer executives and subject matter experts to ensure alignment between their needs and our solutions.
  • Project Planning & Risk Management: Create and manage project plans, proactively identifying challenges and mitigating risks.
  • Solution Delivery: Oversee the development and deployment of AI-driven solutions, including discovery, requirements gathering, solution design, and technical implementation.
  • Customer Success & Adoption: Drive product adoption, conduct training sessions, collect feedback, and advocate for customers to improve our offerings.
  • Value Capture: Ensure customer projects deliver measurable business value, tracking key performance metrics and project outcomes.
  • Account Growth & Expansion: Identify opportunities for upsell, cross-sell, and long-term account growth.
  • Collaboration & Feedback Loop: Provide product feedback and insights from customer use cases to internal stakeholders for continuous product improvement.
  • Continuous Improvement: Help scale best practices across the organization for better service delivery and customer experience.
  • Travel (as needed): Travel to customer sites for on-the-ground implementation and engagement efforts.

Benefits

  • Be part of a high-impact, growing startup shaping the future.
  • Work closely with customers and internal teams to influence product development.
  • Learn across multiple domains—engineering, product, AI, and business.
  • Flexible work environment with a collaborative, innovative team culture.
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