Top Product Engineer Jobs in Boston, MA

Supports product integrity throughout new product development for floorcare products. Participates in design reviews, DFMEA, DVP&R, safety reviews, design validation, engineering change assessments, DFM reviews, and quality documentation approval. Collaborates with engineering, manufacturing, supply chain, and suppliers on process controls, corrective actions, CAPA, and quality gates. Analyzes test and build data, tracks validation metrics, identifies risks, and presents quality status to leadership.

Lead frontend engineering for the DataLab product, developing scalable React and TypeScript interfaces for enterprise financial applications. Guide frontend architecture, component design, accessibility, performance, developer experience, and testing practices. Collaborate with product managers and backend engineers, mentor teammates, make technical decisions, and promote AI-assisted coding tools while maintaining high standards for security, quality, and maintainability.

Own and accelerate ELSA’s B2B Dashboard during a three-month contract. Build production-ready full-stack features across Go, Python, and Vue.js; shape product requirements; make UI/UX decisions; improve APIs and user experiences; use AI development tools; and collaborate with product, design, business, and engineering stakeholders to deliver high-impact improvements autonomously.

Create 3D SolidWorks models of cooling machines and mechanical piping systems from schematics. Develop assembly, fabrication, installation, and IOM documentation; maintain AutoCAD schematics, templates, component properties, and product lifecycle data. The role requires expertise in refrigerant and chilled-water distribution systems, mechanical design, manufacturing and fabrication processes, and detailed technical documentation.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.

Own the direction and execution of critical AI development products. Build AI-assisted annotation tools, data exploration and visualization interfaces, RLHF workflow products, large-scale data processing systems, and tools for communicating complex instructions. Make autonomous technical and product decisions, lead ambiguous projects, ship rapidly, and collaborate with engineering and research leaders to support AI training and evaluation.

Own end-to-end deployments of Prividium for institutional financial customers, including integration code, permissioning, node topology, upgrades, and operational runbooks. Build reference applications for collateral, tokenized deposits, and settlement. Operate production infrastructure through an on-call rotation, troubleshoot incidents, and convert deployment learnings into platform improvements. Collaborate with product, sales, core engineering, and customer teams while working across regulated banking systems or crypto infrastructure.

Develop and maintain performant React Native mobile applications for iOS and Android, with a strong focus on iOS. Build web features using ReactJS, Next.js, and TypeScript; contribute to Node.js APIs and PostgreSQL integrations. Optimize performance, support testing and continuous integration, participate in code reviews, and provide technical guidance while collaborating with technical and non-technical stakeholders in an autonomous team.

Build end-to-end frontend and backend features for a voice AI trust platform while working directly with enterprise customers. Responsibilities include customer discovery, debugging, proofs of concept, product decisions, reusable platform development, and post-sales technical support. The role requires TypeScript and Python proficiency, AI coding tool fluency, strong product judgment, clear communication, and approximately 10%–20% travel.

Own end-to-end delivery of complex software features for a virtual care platform. Design scalable systems, build AI-powered agents and workflows, enhance reliable mobile and web experiences, and translate clinical and user needs into technical solutions. Collaborate with product managers, designers, and clinical staff while focusing on patient impact, product quality, and engineering efficiency.

Provides independent safety assurance for robotic systems across hardware, software, firmware, controls, AI/ML, perception, actuation, and human-robot interaction. Develops safety strategies, requirements, safety cases, V&V plans, acceptance criteria, risk analyses, and objective evidence. Evaluates releases, model and hardware changes, investigates incidents, supports corrective actions, and translates regulations into engineering processes. Partners cross-functionally on safety reviews, certification, audits, and readiness decisions for autonomous mobile robots.

Build and own user-facing features across Hercules’ AI Agent, App Builder, SDK, mobile app, and platform. Design scalable systems, APIs, data models, and high-quality code in a monorepo. Ship SaaS capabilities such as billing, analytics, feature flags, internationalization, and notifications. Apply strong product and UX judgment while working with TypeScript, React, Postgres, Redis, cloud infrastructure, and frontier AI coding tools.

Lead development and operation of a scalable Kubernetes-based cloud-native platform. Shape the engineering roadmap, deliver enterprise platform capabilities, establish best practices, mentor engineers, and collaborate across Agile teams. Build highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, while applying expertise in Go, Python or Bash, networking, Linux, and CI/CD practices.

Lead a four-week project to launch a production inventory table and artifact-detail experience for an AI security platform. Build frontend-heavy, data-dense workflows with large tables, filtering, paging, and resilient state management. Contribute across TypeScript, React, Next.js, Node.js, Postgres, REST APIs, and background jobs. Partner with technical and design leadership, review code, and potentially develop deduplication, reporting, and knowledge-graph features.

Develop and support geospatial ArcGIS solutions for defense agencies by discovering customer needs, configuring applications and information models, contributing to product design, documenting workflows, and collaborating across teams. Design and execute manual and automated tests for functionality, performance, scalability, and durability; assess product quality and release readiness; maintain solutions; and present them to internal and external audiences.

Own product features from research and UX design through full-stack production delivery. Design user flows, wireframes, and reusable components while building responsive front-end experiences, APIs, back-end logic, and database solutions. Improve hiring marketplace workflows, dashboards, scheduling, messaging, and integrations. Use user feedback, analytics, funnel metrics, and A/B testing to guide iteration while ensuring performance, accessibility, and security.

Provides technical support for wide-bandgap power switches, high-voltage power conversion systems, and customer hardware and software integration. Performs system evaluation, benchtop measurements, performance analysis, product launches, and technical documentation. Develops training and digital content, collaborates with customers and field application engineers, contributes to product roadmaps, and identifies emerging applications across data center, automotive, energy, and industrial markets.

Senior Software Engineer responsible for shaping and delivering a new fundraising product from discovery through production. The role involves full-stack development, architecture, prototyping, customer collaboration, production troubleshooting, reliability improvements, and mentoring. The engineer will work autonomously in an early-stage business unit, use customer feedback and data to guide decisions, and contribute across interfaces, backend services, integrations, infrastructure, and AI-enabled workflows.

Develop and oversee product safety programs for semiconductor automation equipment, ensuring compliance with safety laws, industry standards, and customer requirements. Conduct product safety reviews, create test plans, manage risk assessments, recommend hazard mitigations, support safety escalations, and train cross-functional teams. Evaluate products against functional safety standards, including ISO 13849-1 and ISO 10218, while collaborating across engineering and product teams.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Develop and implement test plans for coherent optical pluggable products using photonics integrated circuits. Analyze transceiver performance, define testability requirements, validate test platforms, support fault isolation, and coordinate manufacturing integration. Use data analytics and statistical modeling to improve test yield and reduce cycle times while collaborating with development, technical, and manufacturing teams.

Build full-stack AI-powered video creation and collaboration tools, including rich multimedia interfaces, backend APIs, server-side processes, LLM-powered features, and conversational experiences. Work with generative AI, computer vision, and machine learning models in production. Improve system performance, reliability, and code quality while rapidly prototyping and delivering product features in a collaborative, high-ownership environment.

Build, deploy, and support secure, scalable full-stack healthcare payment applications. Own front-end, service, backend, analytics, data pipelines, CI/CD, cloud deployment, observability, performance optimization, production incidents, and compliance. Collaborate with product, data, DevOps, QA, business, and client teams to deliver reliable features and platforms across hybrid cloud and on-premise environments.

Leads large-scale software projects and delivers complex frontend and backend features. Responsibilities include architecture, technical problem-solving, code quality, testing, deployment, system reliability, cross-functional collaboration, mentoring junior engineers, and advancing Agile engineering practices. The role requires strategic planning, strong communication, scalable solution design, and technical leadership across the organization.

Own ambiguous, cross-team product engineering problems from framing through launch and iteration. Partner with product, design, and data; lead architecture, reliability, performance, and technical decisions across the stack. Influence teams without formal authority, mentor engineers, improve engineering practices, use metrics and experimentation, and apply AI throughout software development. Participate in on-call support.