Top Fintech Jobs in Boston, MA

Lead engagement with dealers, clearinghouses, and market infrastructure to integrate USDC into repo, secured financing, and derivatives workflows. Drive pilots from design to execution, align regulatory and risk requirements, advise senior leadership, and negotiate strategic C-level partnerships to deliver capital, liquidity, and operational benefits.

As a Senior AML Analyst, you'll enhance sanctions compliance, review alerts, assess transaction permissibility, and optimize screening systems while collaborating with teams to ensure risk assessment and compliance.

As a Senior Software Engineer, you'll lead software projects, develop cloud-native solutions using .NET and Angular, and guide the engineering team in best practices.

Perform outbound prospecting (email, LinkedIn, cold calls), qualify inbound/outbound leads, schedule meetings for Account Executives, research decision-makers at RIAs and broker-dealers, use consultative selling to uncover pain points, and track activity in CRM and sales engagement tools while partnering with sales, product, and marketing.

The Solutions Architect will lead the design and implementation of scalable, integrated technology solutions for Worksite Technology, ensuring alignment with business goals and compliance, while mentoring junior architects.

Lead the optimization of mortgage origination processes and systems, collaborating to improve workflows, integrating technology, and communicating insights to stakeholders.

Lead the technical direction of Salesforce at Hometap, designing scalable solutions, providing guidance to teams, and ensuring adherence to best practices and security protocols.

Manage inbound homeowner leads through the full sales cycle for Hometaps home equity investment: educate, guide applications to close, coordinate with internal teams, maintain high-volume calls and pipeline in Salesforce and proprietary systems, meet sales targets, and ensure regulatory compliance and excellent homeowner experience.

Design, develop, and maintain scalable Java-based backend systems and APIs. Write clean code, perform testing and debugging, conduct code reviews, mentor junior engineers, and collaborate with stakeholders to deliver resilient production software.

The Manager of Ontology and Data Modeling develops and maintains enterprise ontologies, collaborates with teams across Capital One, and advocates for semantic technology integration in products and services.

As a Sr. Distinguished Engineer at Capital One, you will lead AI/ML engineering teams, design and build ML applications, mentor engineers, and drive technology innovations in machine learning.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.

The GTM Engineer will automate sales workflows using tools, build integrations, design a win/loss analysis program, and collaborate with sales teams to leverage AI insights.

Lead end-to-end product design for Toast's Point of Sale platform, shaping workflows for terminals and handhelds. Drive systems thinking, prototyping, and design-system contributions. Partner with product and engineering to set roadmap, mitigate risks, and advocate for front-of-house speed, reliability, and usability. Mentor designers, influence cross-functional stakeholders, and integrate AI-first tools into design practice to improve operational hospitality experiences.

Design end-to-end Point of Sale experiences for terminal and handheld surfaces. Translate complex restaurant workflows into fast, reliable, error-resistant interfaces, collaborate with product, engineering, and research, produce high-fidelity prototypes and artifacts, and champion front-of-house usability while integrating AI-first tools into the design process.

Own product vision, roadmap, and delivery for enterprise SMS and interaction-history platforms. Translate ambiguous problems into prioritized features, collaborate with engineering/UX/compliance, drive agile delivery, measure product health, and enable scalable, AI-ready omnichannel communications.

Lead UX design for rapid-prototype innovation events and longer engagements: research, sketching, flows, wireframes, hi-fidelity prototypes, and AI-augmented design. Travel to client sites (15–20%), collaborate with engineers and product owners, run UX reviews, and help adopt AI tools and workflows.

As a Lead Analytics Engineer, you will build data products, collaborate with stakeholders, drive technical excellence, and mentor junior engineers.