Product Engineer
Location: Onsite San Francisco (5 days onsite AND hybrid options)
We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization.
Product Engineer bridging the gap between product vision and technical implementation, working closely with engineering, product, and design teams to develop and refine products. This role often involves hands-on technical work, including development, testing, and troubleshooting, as well as contributing to product strategy and roadmaps.
Key Responsibilities:
Product Development & Implementation:
Developing new features, enhancing system performance, and streamlining workflows, potentially involving machine learning, data pipelines, or cloud infrastructure.Technical Expertise & Problem-Solving:
Providing technical guidance, troubleshooting issues, and conducting design reviews.Cross-Functional Collaboration:
Working closely with product managers, designers, and other engineering teams to ensure alignment and successful product launches.Product Strategy & Roadmap:
Contributing to product strategy, defining technical requirements, and shaping the product roadmap based on customer needs and technical feasibility.Continuous Improvement:
Identifying areas for improvement, optimizing processes, and ensuring product quality and scalability.
Skills and Experience:
Strong understanding of software engineering principles, potentially with experience in specific technologies like cloud computing, machine learning, or data analysis.
Ability to troubleshoot technical issues, analyze data, and develop effective solutions.
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.
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:
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.
Compensation: Market range and can include equity – details can be provided after the specific client is determined.