Top Fintech Jobs in Boston, MA

Manage the Economic Intelligence product portfolio, including strategic planning, product roadmaps, scalable deployment, go-to-market execution, financial performance, and continuous improvement. Partner with regional leads, economists, data scientists, consultants, sales teams, and cross-functional stakeholders to identify client needs, develop solutions, regionalize offerings, and meet financial objectives. Coordinate complex projects across functions and time zones while supporting the program’s P&L.

Own the full sales cycle for Airwallex’s SME and Growth customers, from prospecting and discovery through negotiation, closing, onboarding, and early customer success. Generate pipeline, exceed revenue targets, sell fintech solutions, develop verticals, partner cross-functionally, and improve sales processes while serving technology-enabled businesses across the US Eastern Time Zone.

Own the full sales cycle for Airwallex’s fintech solutions, from prospecting and discovery through negotiation, closing, onboarding, and early customer success. Sell payments, billing, cross-border payment, and spend-management products to U.S. SME and growth businesses. Generate pipeline, exceed revenue targets, develop verticals, partner cross-functionally, and support market expansion.

Leads strategic sourcing initiatives for assigned commodities, driving cost savings, supplier value, and improved quality and service. Partners with business executives and stakeholders on commodity strategies, spend analysis, competitive bidding, contract negotiations, and total-cost-of-ownership decisions. Provides procurement expertise, monitors market trends, manages complex sourcing projects, and identifies opportunities for business improvement while considering third-party risk and regulatory requirements.

Leads strategic sourcing for real estate, facilities, construction, and retail network categories. Develops multi-year category strategies, drives savings and value targets, leads complex negotiations, manages supplier performance and risk, and advises senior stakeholders. Oversees a team of sourcing professionals through coaching, workload prioritization, and capability development. Requires strong commercial, analytical, negotiation, stakeholder-management, and executive-communication skills, with experience in regulated industries and complex spend portfolios preferred.

Leads complex analytics initiatives for the Consumer Deposits portfolio, owning Net Present Value methodology and models. Translates ambiguous business questions into scalable datasets, analytical products, and actionable insights supporting pricing, marketing, product, customer, and strategic decisions. Partners with senior stakeholders and cross-functional teams, manages projects independently, improves analytical methodologies and governance, and mentors analysts.

Conduct applied AI research and build foundation models through design, training, evaluation, validation, and deployment. Lead research initiatives spanning large-scale deep learning, language models, optimization, fine-tuning, and production inference. Collaborate with data scientists, software and ML engineers, product managers, and business leaders to translate research into scalable AI products and customer experiences.

Leads an AI engineering team developing scalable generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and agentic workflows. Sets technical vision, makes build-versus-buy decisions, optimizes production AI systems, operationalizes Responsible AI standards, develops team roadmaps, collaborates cross-functionally, and mentors engineering talent.

Leads internal strategy consulting engagements advising Liberty Mutual senior executives on strategy development, growth, organizational design, innovation, and business transformation. Responsibilities include defining strategic issues, developing proposals and work plans, overseeing analysis, crafting recommendations, managing stakeholder relationships, building consensus, influencing leadership, coaching junior consultants, and contributing to recruiting and team culture initiatives.

Design and build generative AI proofs of concept, pilots, reusable components, APIs, and production-ready reference implementations for commercial insurance. Apply RAG, AI agents, intelligent document processing, model integration, and structured outputs. Evaluate solutions for quality, safety, reliability, and business value while establishing secure, observable, scalable architectures. Partner with technical and business stakeholders, mentor engineers, communicate recommendations to leadership, and shape technical direction across initiatives.

Build full-stack Python applications, data pipelines, AI-enabled workflows, and reporting tools for private markets investment analysis. Partner with portfolio strategy teams to transform prototypes into secure, reliable, production-ready systems. Develop forecasting, portfolio exposure, performance reporting, and decision-support solutions while maintaining enterprise-quality repositories, validation, documentation, logging, and operational support.

Supports underwriting and portfolio management for sponsor-backed technology clients. Responsibilities include transaction due diligence, financial analysis and modeling, credit monitoring, industry analysis, enterprise valuation, credit memo preparation, client relationship management, loan documentation review, legal diligence, credit presentations, and strategic initiatives. The role partners with senior portfolio managers, banking teams, leadership, and risk management while maintaining regulatory and compliance obligations.

Own the B2B demand generation engine across webinars, events, paid media, HubSpot nurtures, ABM programs, and conversion optimization. Build pipeline plans, manage campaigns and agencies, measure attribution and ROI, improve lead scoring, and report on sourced and influenced pipeline. Partner closely with Sales, Product Marketing, RevOps, and leadership to drive MQL-to-SQL conversion and revenue growth across complex enterprise sales cycles.

Build and scale mission-critical tips, earnings, and payroll platforms for restaurant employees. Own systems end to end, lead complex projects from design through deployment, improve reliability and correctness, collaborate with product and design, review code, mentor engineers, and deliver scalable backend services that affect employee pay and product revenue.

Build and maintain developer tooling, internal platforms, testing frameworks, and core libraries used by Toast engineers. Improve development workflows, diagnose bottlenecks, integrate AI-assisted tools, measure developer productivity, operate production services, participate in on-call support, and collaborate with engineering teams on platform improvements.

Develop and scale full-stack software that calculates and delivers restaurant employee pay, including tip pooling, wage calculations, earnings retrieval, and payroll delivery. Responsibilities include designing reliable services, participating in code reviews and architecture discussions, influencing technical roadmaps, and collaborating with product, design, and engineering teams. The role requires backend development, modern web technologies, databases, distributed systems, messaging, microservices, and a strong focus on precision and production reliability.

Leads People Success strategy and programs for go-to-market functions, partnering with executives on organizational design, talent management, workforce planning, employee relations, compensation, engagement, and retention. Manages a global People Success team, uses people analytics to guide decisions, coaches managers and employees, facilitates workshops, and drives scalable employee experience initiatives in a rapidly changing environment.

Build and operate production data pipelines, models, and data products supporting finance, accounting, treasury, compliance, and regulatory reporting. Partner cross-functionally to define requirements, model on-chain and internal data, and ensure data reliability through reconciliation, quality checks, monitoring, and alerting. Use SQL, Python, cloud data warehouse, Airflow, dbt, and AI tooling. Mentor engineers, review technical work, document systems, and communicate data concepts to technical and non-technical audiences.