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Seeking an experienced HR Generalist to support all aspects of the employee lifecycle, collaborate with various teams, analyze HR data, and drive HR initiatives in a people-first culture at Alloy. The ideal candidate will have 5+ years of HR experience, excel in using data to influence decision-making, and be proficient in Excel and Google Sheets.

Seeking a Senior Demand Generation Manager to drive Alloy’s customer acquisition strategy by creating and managing marketing programs, executing ABM playbook, and optimizing funnel with sales and RevOps teams.

As a Senior Solutions Architect specializing in Transaction Monitoring at Alloy, you will lead client implementations, propose technical solutions, mentor other architects, and support production launches. You will be a key player in ensuring client success and driving the development of Alloy's products and services.

The Product Operations Analyst at Alloy will support all things P&E operations, improve processes, build internal reporting capabilities, manage team rituals, work cross-functionally with other departments, and assist in building a new Product Operations function.

The Solutions Engineer role at Alloy involves partnering with account executives to close deals, working with technical stakeholders to overcome technical challenges, conducting custom demos and reviews, and scoping out proposed solutions. The role requires experience in Solutions Engineering supporting technical products and enterprise sales processes, knowledge of CIP and AML regulations, and excellent communication skills.

Alloy is seeking a Senior Channel Partnership Executive to join the top sales team, responsible for driving growth from partner ecosystem in the Banking vertical. This role involves developing GTM plans, co-selling with partners, tracking KPIs, and representing the company at industry events.

Join Alloy as a Senior Machine Learning Engineer on the Predict team to build machine learning systems for fraud detection and risk management. Architect scalable systems, deploy ML models, collaborate with cross-functional teams, and stay updated on industry developments. Hybrid work environment with onsite presence twice a week. Must have at least 5 years of experience in software/data engineering and 2+ years in leveraging machine learning for external-facing products.