Real job — pulled straight from SparkCognition’s careers page · Verified October 21, 2026 · No reposts.
Job description
SparkCognition is hiring a Engineering Lead, Planning — a full-time, based in Pleasanton, CA role ($160k–$220k). Apply directly on SparkCognition's careers page below.
Engineering Lead, Planning
Location: Pleasanton, California, United States
Department: Engineering
Who We Are & Why Join Us
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
We are hiring an Engineering Lead to build and run the Planning product on the Avathon platform. You will lead the team that turns forecasting and optimization models into production planning software: demand planning, supply and capacity planning, inventory and clear-to-build. Planning runs on our Computational Knowledge Graph and pulls from ERP, MES, PLM and logistics data, so the hard problems are data, scale and getting the right plan in front of a planner fast. This is a hands-on lead role in Product Engineering. You will write code, own the architecture, and lead a team of engineers.
You Will
Architecture and Build
- Own the technical architecture for Planning services: data models, plan generation, scenario and what-if runs, plan versioning and reconciliation
- Build the pipelines that bring orders, inventory, BOM, production schedule and shipment data from ERP, MES, PLM and TMS sources into the planning model
- Productionize forecasting and optimization models built with our AI scientists, including solver integration, scheduling of plan runs and monitoring
- Design for scale: large multi-level BOMs, many SKUs and sites, and plans that refresh in minutes, not overnight
Platform Integration
- Model planning entities and their relationships in the Computational Knowledge Graph so a supply issue can be traced to the orders and production it affects
- Work with the agent team to let AI agents explain plans, flag exceptions and recommend actions
- Turn customer-specific planning work into reusable product components
Team Leadership
- Lead and grow a team of engineers; set priorities, review designs and code, and mentor
- Partner with the Planning product manager on roadmap, scope and release planning
- Own quality, performance and reliability for Planning in production
- Work with forward deployed teams on customer go-lives and escalations
You'll Have
- 8+ years of software engineering experience, including 3+ years leading engineers
- Built planning, scheduling, forecasting or optimization software, ideally at a vendor such as Blue Yonder, o9 Solutions, Kinaxis, Oracle SCM, SAP IBP or Anaplan, or on planning systems at a large manufacturer
- Strong backend skills in Python, Java or similar, with experience building data pipelines and APIs
- Experience integrating optimization solvers (Gurobi, CPLEX, OR-Tools or similar) and ML models into production systems
- Solid understanding of supply chain planning concepts: demand, supply, MRP, capacity and inventory
- Experience with large-scale data processing and cloud platforms (GCP or AWS); graph data models are a plus
- Bachelor's or Master's degree in Computer Science, Engineering, Operations Research or a related field
Compensation
Pay Range: $160,000-$220,000 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.
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.
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Frequently asked questions
What is the salary for Engineering Lead, Planning at SparkCognition?
The estimated salary range for Engineering Lead, Planning at SparkCognition is $160,000 - $220,000 USD per year.
What skills are required for Engineering Lead, Planning at SparkCognition?
The required skills for Engineering Lead, Planning at SparkCognition include: Python, Java, API, Machine Learning, GCP, AWS, ERP.
What is the seniority level for Engineering Lead, Planning at SparkCognition?
Engineering Lead, Planning at SparkCognition is a Manager / Senior level position.
How do I apply for Engineering Lead, Planning at SparkCognition?
You can view the full description and apply for Engineering Lead, Planning at SparkCognition on EchoJobs: https://echojobs.io/job/sparkcognition-engineering-lead-planning-u3udk.