Top Tech Jobs & Startup Jobs in Boston, MA

Owns day-to-day accounting and treasury operations, including multi-entity month-end close, consolidations, reconciliations, GAAP compliance, audit coordination, internal controls, and tax and treasury partnerships. The role leads process improvements, introduces AI-enabled accounting workflows, supports IPO readiness, and develops a small accounting team as a player-coach.

Owns day-to-day paid acquisition across Meta, Google, TikTok, and Snapchat. Responsibilities include campaign execution, budget pacing, CAC optimization, advanced platform management, strategic translation, rigorous A/B testing, and data-driven decisions using CAC, CPA, ROAS, and LTV:CAC metrics.

Provide legal support for Finance and Capital Markets, lead ABS, debt and M&A transactions, draft and negotiate financing and vendor agreements, support IPO/SEC reporting readiness, manage outside counsel, monitor legal/market developments, and assist with corporate governance and board/committee materials.

Own the Credit Line Increase Program by analyzing customer and financial data, refining underwriting and pricing strategies, managing risk, improving lifetime value models, running market tests, and presenting recommendations to leadership. The role mentors analysts and collaborates with product, data science, and engineering teams to implement growth strategies.

Owns day-to-day corporate legal operations, including investor due diligence, audit requests, governance documentation, corporate filings, entity records, outside counsel and legal vendor management. Supports commercial transactions and compliance matters while coordinating with Finance, IT, Tax, Treasury, and People teams. The role may expand into board coordination, legal research, contract drafting, and corporate IP portfolio management.

Leads a team of 13–15 Fraud Associates responsible for protecting cardholders from fraudulent activity. Oversees coaching, performance management, scheduling, escalations, staffing, and career development. Uses operational data and dashboards to improve accuracy and efficiency, handles complex fraud cases, translates policy updates into team guidance, and helps build scalable fraud operations processes and culture.

Lead Mission Lane's AI operations strategy end-to-end: identify high-impact AI use cases for contact center operations, build business cases, evaluate vendors, sequence and drive cross-functional execution, establish governance, and measure outcomes in cost, quality, and customer experience.

Design, develop, and deploy supervised machine learning models for credit decisioning. Collaborate with business and technical stakeholders to create data sources, improve modeling methodology, operationalize models, and manage model evaluation and risk for production systems.

Lead a data science team focused on credit risk modeling: design, develop, deploy, and manage production machine learning models. Partner cross-functionally to improve data sources, modeling methodology, risk management, and team capabilities.

Own analytics, modeling, reporting, and recommendations for portfolio management. Design underwriting and pricing for multicard and line-extension strategies, test rewards upgrades and purchase incentives to boost engagement, and partner with risk, data science, and engineering to operationalize strategies and defend recommendations to stakeholders.