Cyndx

Lead and develop data engineering and AI teams while hands-on building scalable data pipelines, AI services, and cloud-native solutions. | 5+ years in data/AI with hands-on experience in SQL, DBT, Airflow, GCP, ML/Generative AI, and proven leadership in managing data engineering and AI teams. | About Cyndx Cyndx is building the next-generation AI search and research platform for deal origination in investment banking. Our platform leverages cutting-edge data engineering, machine learning, and generative AI to uncover opportunities faster and with greater accuracy. We work with leading financial institutions, investors, and corporations, providing deep insights that drive strategic decisions. The Role We're looking for an Engineering Manager (Data) to lead our Data Engineering and AI teams. This is a hands-on leadership role - you'll spend more than half of your time designing and developing alongside your team, while also setting technical direction, mentoring engineers, and collaborating cross-functionally with product and leadership. This role is ideal for someone who loves solving hard data and AI problems, thrives in a fast-paced environment, and wants to make a direct impact on how deals are sourced and evaluated in the financial world. Applicants must be authorized to work in the United States. Cyndx is unable to sponsor or take over sponsorship of an employment visa. Responsibilities • Lead and grow our Data Engineering and AI teams, providing both strategic direction and day-to-day technical guidance. • Architect, build, and maintain data pipelines, orchestration systems, and AI services that power our platform. • Stay hands-on with development, contributing directly to codebases and models. • Drive best practices in data modeling, orchestration, and cloud-native engineering. • Partner with product and business stakeholders to translate deal origination workflows into scalable data and AI solutions. • Ensure system performance, scalability, and reliability across a large and growing dataset. Tech Stack & Tools • Languages & Frameworks: SQL, Python, Machine Learning / Generative AI frameworks • Data & Orchestration: BigQuery, DBT, Airflow • Infrastructure & Services: Google Cloud (Cloud Run, AlloyDB, Postgres), Weaviate (vector search) • AI/ML: Applied ML, LLMs, and GenAI techniques for search and ranking Qualifications • Extensive hands-on experience with SQL, DBT, Airflow, and modern data pipelines. • 5+ years working in the data/AI space. • Track record of success leading a team • Strong applied experience in Machine Learning and Generative AI, including deploying models in production. • Proven experience with cloud-native architectures, preferably GCP. • Strong track record of hands-on software development and technical leadership (expect to code >50% of the time). • Prior experience managing or mentoring data engineering and AI/ML teams. • Bonus: Experience in investment banking, deal origination, or financial services. What We're Looking For • A builder who thrives in a fast-paced, product-driven environment. • A leader who is comfortable wearing multiple hats - from strategy to coding. • Someone excited to tackle hard technical problems in AI, search, and data engineering. • A collaborator who can work closely with both engineers and business leaders. Why Join Cyndx • Work at the intersection of AI, data engineering, and investment banking. • Lead a high-impact team building the AI-powered search engine for deal origination. • Competitive compensation and benefits in a growth-stage technology company. • Health/Dental/Vision insurance • 401k • Lunch benefits