Top Fintech Jobs in Boston, MA

Leads complex, enterprise-scale software engineering initiatives for payment and banking technology. Designs, develops, tests, debugs, documents, and reviews Java Spring Boot microservices and cloud-based solutions. Establishes engineering standards, resolves complex technical issues, mentors team members, and collaborates with technical experts and stakeholders. The role requires expertise in MongoDB, Kubernetes, OpenShift, REST architectures, and shared services, with payments and ISO 20022 knowledge preferred.

Supports Wealth Management and the MMLIS Advisor Loan Program through financial analysis, deal and loan modeling, profitability and sensitivity analysis, dashboards, data visualization, and business insights. Uses SQL, Python, Excel, and BI tools to analyze complex datasets, automate workflows, identify trends, and develop KPIs. Partners with business and technology teams to improve analytics processes, support AI and automation initiatives, and communicate recommendations to leaders.

Lead development of resilient, scalable features across Toast’s POS, backend, and frontend systems for sports, entertainment, and hospitality customers. Design, deploy, and maintain production services; lead complex reliability projects; collaborate with Product, Design, Sales, Customer Success, and other teams; build automated tests; monitor feature rollouts; and mentor engineers. The role also encourages using AI tools to improve development productivity.

Designs and builds production AI agents that automate restaurant onboarding across payments, payroll, hardware, menus, and appointments. Responsibilities include tool and permission design, guardrails, evaluation, monitoring, backend modernization, outcome measurement, and occasional full-stack development. The role partners with product, design, operations, and data science, contributes to architecture and engineering standards, and mentors engineers adopting AI development tools.

Develop Android system applications for Toast’s device management platform, focusing on background services, device policy enforcement, setup, firmware and app updates. Support new hardware and OS upgrades, expand automated testing with Robot Framework, investigate production issues, and collaborate with product, hardware, QA, and software teams. The role requires strong Android development skills in Java or Kotlin, Android architecture libraries, debugging tools, and source control.

Supports managed account operations across multiple clients, including account administration, reconciliations, corporate actions, security master activities, performance reporting, onboarding, and exception resolution. The role processes account changes, resolves reconciliation breaks, maintains data integrity, supports platform testing and enhancements, and collaborates with clients, sponsors, operations, and technology teams.

Leads the data platform engineering team, owning architecture, roadmap, ingestion, orchestration, warehouse, BI, streaming, AI-agent capabilities, data quality, governance, and self-service infrastructure. Manages and develops senior engineers, drives technical standards, reviews designs and code, supports incident response, and partners across engineering, analytics, finance, security, compliance, and risk. Requires hands-on data platform, AI, and technical leadership experience.

Build, deploy, and scale machine learning models and infrastructure for financial technology applications. Responsibilities include model development, feature and data pipeline engineering, cloud-based production deployment, monitoring, retraining, testing, CI/CD, model governance, and responsible AI practices. The role collaborates with Product and Data Science teams and uses distributed systems, containerized platforms, and cloud technologies to deliver resilient ML solutions.

Own the full product lifecycle for enterprise real-time data publishing and stream processing. Define self-service streaming pipeline creation, dataset activation, operational triggers, and intelligent cost-based processing tiers. Lead migration of real-time applications to enterprise tooling, partner cross-functionally, and drive adoption through metrics including pipeline creation speed, publishing and consumption growth, and operational outcomes.

Lead an AI engineering team developing, deploying, and operating scalable foundation-model systems, including LLM inference, similarity search, guardrails, evaluation, governance, and observability. Set technical strategy, optimize model performance and infrastructure costs, make build-versus-buy decisions, operationalize responsible AI standards, translate enterprise goals into roadmaps, and mentor engineering talent while partnering with research, product, data, and platform teams.

Handle inbound calls and warm leads, advise customers on Property and Casualty insurance coverage, and convert prospects into policyholders. The role includes paid training and licensing, customer-focused sales, schedule flexibility, and remote work. Representatives must meet state licensing requirements, work four weekdays and one weekend day, and maintain a dedicated home workspace with wired high-speed internet. The position offers a base salary, commissions, benefits, and growth opportunities.

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.

Lead consulting engagements for payment issuers and clients, specializing in credit card profitability, P&L optimization, and business case modeling. Direct teams, analyze client data, develop strategic recommendations, present executive-ready insights, manage stakeholders, support business development, and mentor consultants. Evaluate product economics, portfolio optimization, loyalty, co-brand, channel, credit risk, and operational strategies.

Leads and scales a team of full-cycle Account Executives serving SME and growth customers. Owns revenue delivery, pipeline health, deal quality, forecasting, and sales execution. Coaches sellers on discovery, negotiation, objection handling, and closing; builds outbound processes and operating cadences; recruits and develops talent; and partners cross-functionally to refine customer segments, improve win rates, and identify expansion opportunities.