LAI
Product Engineer
San Francisco
Sponsorship not specifiedDetected 399 days ago
Machine LearningData EngineeringStatisticsProduct StrategyCommunicationCollaborationProblem Solving
About the role
- Product Engineer Location: Onsite San Francisco (5 days onsite AND hybrid options) We have multiple startups interested in talent.
- Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization.
- This role often involves hands-on technical work, including development, testing, and troubleshooting, as well as contributing to product strategy and roadmaps.
Responsibilities
- Providing technical guidance, troubleshooting issues, and conducting design reviews.
- Ability to troubleshoot technical issues, analyze data, and develop effective solutions.
Requirements
- A bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field is typically required.
- Several years of experience in product engineering or previous software development with user focus required.
Skills
- Excellent communication and interpersonal skills to work effectively with diverse teams and stakeholders.
- Understanding of user needs, product strategy, and the ability to translate business goals into technical requirements.
Compensation
- Compensation: Market range and can include equity – details can be provided after the specific client is determined.
Benefits
- Product Engineer bridging the gap between product vision and technical implementation, working closely with engineering, product, and design teams to develop and refine products.
- Developing new features, enhancing system performance, and streamlining workflows, potentially involving machine learning, data pipelines, or cloud infrastructure.
- Strong understanding of software engineering principles, potentially with experience in specific technologies like cloud computing, machine learning, or data analysis.
- 3-5+ years of experience in product development, software engineering, or a related field, potentially with experience in specific areas like machine learning or cloud infrastructure.
- Education and Experience:
- Compensation: Market range and can include equity - details can be provided after the specific client is determined.
This listing is sourced directly from LAI's careers page and normalized into a canonical job model.