Top Fintech Jobs in Boston, MA

Leads applied AI research and development for foundation models and large-scale machine learning systems. Partners with data scientists, engineers, product managers, and academic researchers to define research directions, train and evaluate models, optimize inference and training, and deploy AI capabilities into products. Mentors applied scientists and managers, represents the organization externally, and translates advanced research into scalable customer experiences.

Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model performance, cost, latency, throughput, and hardware utilization; define reliability objectives; own complex system architecture; lead technical reviews; ensure security and compliance; and mentor engineering associates.

Conduct applied AI research and lead development of foundation models from design through training, evaluation, validation, and deployment. Collaborate with data scientists, software and machine learning engineers, and product managers to deliver scalable AI products. Advance research in areas such as large language models, optimization, fine-tuning, robustness, and explainability while translating findings into production systems and business impact.

Lead a software engineering team developing reusable architecture assets, standards, libraries, templates, tutorials, and adherence frameworks. Drive cloud-native, DevOps, CI/CD, infrastructure-as-code, and AI-enabled engineering practices. Set team strategy, manage delivery and dependencies, partner with product and architecture stakeholders, coach engineers, conduct performance reviews, and promote continuous learning and adoption of shared engineering practices across teams.

Provides operational oversight of U.S., Puerto Rico, and Canadian retirement programs, including defined contribution and defined benefit plans. Leads compliance testing, regulatory filings, controls, vendor management, audits, committee support, plan corrections, and complex benefits projects. Partners with Legal, Payroll, Finance, IT, HR, recordkeepers, actuaries, and trustees. Evaluates plan design enhancements, supports pension initiatives, improves processes, and communicates retirement and benefits changes to stakeholders.

Manage complex long-term care professional liability claims from investigation through resolution. Responsibilities include advanced coverage analysis, liability and damages evaluation, reserving, litigation and defense counsel management, settlement negotiation, clinical expert coordination, regulatory collaboration, claims documentation, and reporting. The role requires maintaining adjuster licensing, managing high-exposure matters independently, and partnering with underwriting, reinsurance, subrogation, and senior leadership.

Lead technology and integrated internal audits across financial, operational, and compliance controls. Responsibilities include risk assessment, audit scoping, interviews, control testing, documentation, deficiency analysis, remediation tracking, and collaboration with risk functions. The role also develops generative AI applications to improve audit workflows and testing efficiency, while enhancing audit methodologies and frameworks.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Leads complex financial analysis, budgeting, forecasting, workforce planning, and multi-year financial plans. Partners with senior leaders, interprets financial results, strengthens controls, and provides strategic insights. Uses AI-enabled tools, data modeling, visualization, automation, and analytical techniques to improve FP&A processes and reporting. Communicates findings to executives, supports data governance, manages risks, and mentors less experienced analysts.

Own supervisory data management and governance as a subject matter expert. Define data quality rules, metrics, monitoring, issue remediation, taxonomies, metadata, and cataloging practices. Partner with business, IT, and platform teams to improve data reliability, accessibility, lifecycle management, and future AI readiness. Translate business needs into technical requirements, facilitate adoption of governance practices, and communicate recommendations to technical and executive audiences.

Own and grow a local sales territory through extensive in-person prospecting, business visits, demos, networking, partnerships, and full-cycle deal execution. Build pipeline, sell Square’s software and hardware ecosystem to restaurants, retailers, and service businesses, manage onboarding partnerships, maintain Salesforce activity and forecasts, and consistently exceed sales quotas.

Supports portfolio management and credit underwriting for sponsor-backed technology clients. Responsibilities include transaction due diligence, financial analysis and modeling, credit monitoring, industry analysis, enterprise valuation, credit memorandum preparation, client relationship management, loan-document review, legal diligence, facility negotiation, and presentations to leadership and risk committees. The role also contributes to strategic initiatives and uses internal generative AI platforms to improve efficiency.

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.

Leads strategic sourcing for core IT infrastructure services, including data center, hosted mainframe, and back-office infrastructure. Develops commodity strategies, drives cost savings, oversees spend, leads competitive bidding and contract negotiations, and advises business stakeholders. The role manages cross-functional sourcing initiatives, analyzes market and economic trends, maintains supplier relationships, identifies improvement opportunities, and optimizes total cost of ownership and third-party value.

Own the strategy, roadmap, prioritization, governance, rollout, licensing, cost management, adoption, and measurement of an enterprise everyday AI productivity portfolio. Partner with engineering, platform, risk, security, compliance, and business teams to launch AI capabilities, manage pilots, define acceptance criteria, track product health, lead enablement, and build a practitioner community across a regulated enterprise.

Leads a residential lending team, overseeing loan pipelines, complex underwriting, escalations, performance reporting, process improvements, and strategic initiatives. Provides supervision, coaching, and mentorship to lending specialists while collaborating with sales, processing, and closing teams to ensure efficient transactions and exceptional service. Requires extensive residential underwriting expertise, people leadership experience, and the ability to support complex lending needs for private banking and high-net-worth clients.

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.