Product Manager, Enterprise
at Scale AI
San Francisco, California, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 08 Aug, 2024 | Not Specified | 09 May, 2024 | 4 year(s) or above | Good communication skills | No | No |
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Description:
Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI models for their business.
We are building the Scale GenAI Platform, a full-stack product to build, test, and deploy enterprise-ready Generative AI applications, customized with the customer’s own proprietary data and expertise.
Scale GP enables customers across industries to rapidly develop and deploy custom GenAI solutions like:
- Content-generation systems that enable sales teams to be more effective and efficient.
- Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately.
- Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making.
We are seeking an experienced product manager to join our team and play a pivotal role in building and scaling our fast growing product to shape the future of GenAI adoption in the enterprise space. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with enterprise software development. You will be responsible for owning large new areas within our product.
You will:
- Shape the platform that enables large enterprises to build hundreds of production-ready GenAI solutions
- Work with leading machine learning teams at world class companies across industries to help them build and improve their GenAI applications that drive business value
- Work with exec leaders to determine and execute the product strategy of the business
- Own end-to-end product development by understanding customer pain points, defining product requirements, managing development and testing, and launches
- Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance
Ideally you’d have:
- Technical degree in computer science, engineering, or equivalent experience
- 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus
- Strong understanding of generative AI technologies and their applications in enterprise settings
- Experience operating in a fast-paced environment with high ambiguity
- Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
- Working knowledge of SQL and some coding skills (Python)
Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:4.0Max:9.0 year(s)
Information Technology/IT
IT Software - System Programming
Software Engineering
Graduate
Proficient
1
San Francisco, CA, USA