Top Tech Jobs & Startup Jobs

The Enterprise Customer Success Manager will engage with 10-20 enterprise clients, ensuring they effectively adopt and maximize value from the AI search optimization platform, while providing strategic recommendations and onboarding support.

Support FP&A workflows including budgeting, forecasting, and KPI tracking. Build financial models and decision frameworks, partner with cross-functional leaders on resource allocation, optimize expenses with engineering, run analyses on growth, pricing, and unit economics, contribute to board and investor materials, and support financial operations such as invoicing, billing, taxes, and collections while improving finance systems and reporting.

The Financial & Credit Analytics Analyst will build data models, perform credit analytics, and support reporting for lending products. Responsibilities include managing KPIs, loan servicing analytics, and process improvement.

Lead financial planning, forecasting, and reporting while partnering with founders to shape growth, capital investment, and pricing strategies at Blacksmith.

The Director of Events will manage all aspects of Siro's events strategy, execution, and operations, ensuring successful outcomes that drive pipeline and retention. Responsibilities include overseeing event logistics, budget management, cross-functional collaboration, and system development for future events.

The Senior Data Scientist will lead the development of personalization algorithms, collaborate cross-functionally, build data pipelines, and optimize machine learning models.

Lead and manage government proposals for the Department of Defense, overseeing the proposal lifecycle from planning to submission, ensuring compliance and quality.

The Senior Speakers Bureau Specialist coordinates logistics for speaker engagements, drafts materials, manages calendars, and supports event operations, ensuring smooth delivery and preparation for events.

As a member of the EM Sales team, you will manage client relationships, identify new accounts, demo the trading platform, and facilitate trades, while developing industry awareness and market intelligence.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.