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OctoML

Senior Product Manager, Machine Learning Systems

Full-timeSenior Product Manager$132,000-$184,000*
Remote
Please let OctoML know you found this offer on WeLoveProduct as a way to support us 🫶
OctoML is a fast-growing startup developing the industry's leading machine learning deployment platform. We enable customers to take ML models to production faster and with greater performance. OctoML's mission is to make AI sustainable and accessible so it can be used to thoughtfully improve lives.

We are founded by the creators of Apache TVM, the open-source stack for ML performance and portability. TVM automates the optimization of machine learning models on CPUs, GPUs, edge devices, and specialized accelerators. Building on the success of TVM, our cloud-based OctoML Platform provides choice, automation, and performance to organizations that are taking their trained models to production.

Our team consists of experts in machine learning, hardware, cloud services, and compilers. We have secured over $130M in venture capital funding and our team will more than double in size over the next year. We're based largely in Seattle, but have a remote-first culture with people working all over the US and elsewhere in the world.

We dream big but execute with focus and believe in creativity, productivity, and a balanced life. We value diversity in all dimensions and are always looking for talented people to join our team!

As a Senior Product Manager, Machine Learning Systems, you will:

  • Identify and take ownership of OctoML’s user needs and personas from a Machine Learning Systems perspective.
  • Build Machine Learning Systems user journeys to prioritize and define features for improvingcapabilities across the OctoML Platform and TVM OSS project.
  • Drive a cross-functional group of product, engineering, and sales to prioritize and align roadmaps of Machine Learning Systems product features.
  • Ensure high quality delivery of Machine Learning Systems product features by setting engineering processes and standards for execution velocity.

Our ideal candidate will have:

  • 5+ years of experience as a product manager, technical lead, or engineering manager; startup experience is highly preferred.
  • Leadership experience in open source software projects in the MLOps ecosystem.
  • Collaborative mindset and the ability to prioritize requests across department and organization boundaries.
  • Excellent written and verbal communication skills.
Our Benefits:

OctoML aims to provide the resources that employees need to be healthy and comfortable.
- 100% employer paid premium (for employee and dependents) with a low-deductible plan.
- Remote and telework setups for employees (post-COVID)
- Flexible work hours
- 4 weeks paid personal time off + company paid holidays and company downtime 2x per year
- Family & Medical Paid Time Off (includes Maternity, Paternity, Adoption, among others)

OctoML is committed to creating a diverse environment and is proud to be an equal opportunity employer. We hire based on an evaluation of abilities and effectiveness. We don't discriminate against employees on the basis of any other personal characteristic or any classification protected by federal, state or local law. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Questions & answers for this position
  • What is the type of contract for this position?
    The contract for this position is a Full-time contract
  • What's the salary range for the Senior Product Manager, Machine Learning Systems position?
    The suggested salary for this position is $132,000-$184,000*
  • Is telecommuting possible for this position?
    Yes, telecommuting is possible for this position
About OctoML
OctoML automatically maximizes machine learning model performance on any hardware, cloud or edge device. Works seamlessly with PyTorch, TensorFlow, ONNX and more.
Website
Industry
Artificial Intelligence, Computer
Size
51-250 employees

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