Bridgewise is an AI-powered investment intelligence platform that provides comprehensive financial analysis and insights for over 50,000 global securities. It offers a suite of products including…
Bridgewise is an AI-powered investment intelligence platform that provides comprehensive financial analysis and insights for over 50,000 global securities. It offers a suite of products including…
Scale: Analysis coverage for tens of thousands of global securities (37,000+ cited)
Founded: 2019
Funding total (reported): USD 35,000,000
Company Overview
Problem Domain
Investment research and intelligence for financial institutions and wealth platforms.
Founded
2019
Industry
Fintech / Investment Intelligence
Funding Track Record
Series A
Series A reported with Emirates NBD as lead investor; additional investors include SIX (reported).
Investor Signal
“Raised institutional funding with a Series A led by Emirates NBD; reported investors include SIX.”
Founders
What we do
Join the Team
Engineering Manager
On-SiteRamat Gan
On-Site • Ramat Gan
Bridgewise is a pioneering technological research company that leverages proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in multiple languages. Our mission is to bridge the knowledge gap in the investment world and empower investors to become "super-investors." With our generative AI technology integrated into brokerage platforms and financial institutions' infrastructures, we offer instant fundamental analyses of global stocks, enabling informed investment decisions for millions of investors worldwide
As an Engineering Manager at Bridgewise, you will have the unique opportunity to shape the development of cutting-edge solutions in the financial technology sector. If you are a forward-thinking engineering leader with the specified experience and mindset, ready to take on a challenging and rewarding role, we encourage you to apply and be a part of our dynamic and innovative team.
Requirements:
Qualifications and Experience:
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To excel in this role, you should possess the following qualifications and experience:
Bachelor's degree in Computer Science, Software Engineering, or a related field TMaster's degree preferred). 5W10 years of experience in software engineering, including leadership roles.
Strong technical background in AI, machine learning, or natural language processing TNLP[ is highly desirable.
Excellent proficiency in Python with at least 2 years of experience.
Extensive experience in cloud computing platforms such as AWS, GCP, or Azure, with at least 3 years of experience, preferred experience with AWS.
Experience with Apache Spark is a significant advantage. Experience with Apache Spark is a significant advantage.
Proven track record of leading and mentoring engineering teams to deliver complex software projects for at least 4 years.
Deep understanding of software development methodologies, architecture, and best practices.
Experience with Agile methodologies and a commitment to the Agile mindset.
Proficiency in using Agile project management tools such as Jira.
A "can-do" approach with a strong ability to drive initiatives and work effectively in a startup environment
Responsibilities:
As the Engineering Manager at Bridgewise, you will play a pivotal role in leading and guiding our engineering team to drive innovation, develop cutting-edge solutions, and maintain the highest standards of software development. Your primary responsibilities will include: !.
Team Leadership: Lead, mentor, and inspire a team of skilled engineers, fostering a culture of collaboration, continuous improvement, and Agile development. Set clear goals, provide direction, and ensure the team's success in delivering high-quality software solutions on time and within scope. Act as a champion of the Agile mindset, promoting its principles and practices within the team. !.
Engineering Excellence: Oversee the design, development, and maintenance of our AI-based analysis and language models, ensuring they meet performance, scalability, and quality standards. Collaborate with cross-functional teams, including Product, Data Science, and DevOps, to drive innovation and deliver integrated solutions. !.
Technical Strategy: Contribute to the development of the technical strategy, aligning it with the company's overall business objectives and technology roadmap. Stay up-to-date with industry trends and emerging technologies, recommending and implementing advancements where relevant. !
Project Management: Manage engineering projects, including resource allocation, scheduling, and risk management, using Agile methodologies and practices. Foster an agile and efficient development process, promoting transparency and collaboration, and utilizing tools like Jira. !.
Quality Assurance: Implement best practices for code quality, testing, and continuous integration/continuous delivery TCI/CD) processes. Ensure software reliability and security while maintaining a focus on innovation
