Neon HealthPlans what the customer deploys first
Forward Deployed Product Manager
San Francisco, CAOn-site
$121,000–$186,000
Updated
$130,000–$155,000Austin, TX · Pleasanton, CAAustin, TX +1Hybrid
Forward-deployed design and implementation lead for Avathon’s Asset Performance Management platform, embedded at industrial customer sites from discovery through go-live and steady-state adoption.
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$130K–$155KBelow the median
Median $190K
This job$130K–$155KTypical senior FDE payMiddle 50% of 1,484 postings$160K–$220KPlans what the customer deploys first
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Posted by Avathon (formerly SparkCognition) on
Avathon is 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: avathon.com
Avathon is 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.
The Forward Deployed Design Lead — APM is embedded directly at customer sites as the primary experience and implementation owner for Avathon's Asset Performance Management deployments. You live at the intersection of industrial workflow knowledge and experience design, responsible for configuring, implementing, and continuously improving how operators, reliability engineers, and maintenance teams actually use Avathon's platform day to day.
You will spend Monday through Thursday on the plant floor, in control rooms, and in client working sessions — translating real operational workflows into configured APM solutions, designing the screens and interactions users will rely on in high-stakes environments, and driving adoption from go-live through steady-state operations. Fridays are typically remote for synthesis, documentation, and cross-team collaboration.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
View posting at Avathon (formerly SparkCognition)
Avathon builds AI for industrial asset performance, renewable energy, and defense/autonomy use cases.
Private Late · 200–500 people
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