Come work with us!
AI/ML Product Manager
About The Position
The company is on a mission to change the way we, as a society, take care of every older adult who needs it. We are leveraging the power of AI and data to ensure safety, dignity, and satisfaction in every caregiver-care recipient interaction.
Why Sensi
Work with a purpose. Join us in creating an ideal care environment for older adults. help us make Sensi a new industry standard for the long-term home care industry.
About the Role
As an AI\ML Senior Product Manager, you will be a part of shaping the product and scaling it to support thousands of concurrent users. You will have huge potential to make an impact on our customers and as well as seniors’ lives (Who doesn’t want to improve the quality of care for older adults?).
Reporting to the VP of Product, you will take a key part in planning and building Sensi’s ML and Data pipeline and translating the DSP and ML models to meaningful insights for our customers. You will work with various teams, multiple stakeholders, and customers.
Responsibilities:
- Leverage Sensi’s Audio and Speech driven DSP/ML models and convert these to human design centric capabilities in various parts of our product.
- Own the product-related roadmap of our Data & ML team.
- Transform our DSP and ML Models to meaningful business insights in Sensi’s Dashboard.
- Work closely with Data Science, Engineering, Clinical experts, CS, Sales, and Marketing to drive successful product results.
Requirements
- At least 4 years of experience as a Product Manager in SaaS related Products
- Proven track record of managing the full product lifecycle from ideation to implementation
- In-depth knowledge of data products, data pipelines, data processing technologies, modern big data cloud infrastructure, and technologies
- Team player with excellent communication skills
- Fluent English speaking and writing skills
- Experience with building end user dashboards based on ML models or other data
- The ability to talk “tech” with the “techies” and business with customer facing teams and customers
Advantages:
- Strong advantage: At least 2 years leading data driven or ML driven products at scale
- A previous experience with launching clinical related products or with clinical background/experience is nice to have
- Prior experience with Voice/Audio/Speech related products
- Undergraduate degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline (equivalent professional experience will be considered)