Top Tech Jobs & Startup Jobs in Boston, MA

This role involves defining and leading the security and risk strategy for Circle's products, ensuring compliance across jurisdictions while managing product security, compliance operations, and risk assessment.

As a Technical Support Engineer at Circle, you'll provide world-class support for API-based products, resolve technical issues, and improve customer experiences. You'll engage with customer support tickets, manage escalations, and lead incident management initiatives while collaborating closely with Engineering.

Provide legal and regulatory counsel for Circle's payments products, advising on product design, licensing, AML/BSA, consumer protection, cross-jurisdictional expansion, and compliance for launches and marketing.

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

Lead a team of electrical engineers to improve hardware performance and quality while addressing manufacturing needs and drive design changes for better cost-efficiency and reliability.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

Act as the technical lead for sustaining engineering of hardware infrastructure, supporting server and networking hardware, and collaborating with various teams to resolve operational issues.

The Systems Engineer I will qualify and deploy firmware for server hardware, troubleshoot issues, and improve automation for data center hardware operations.

The Senior Data Center Engineer II will deploy, maintain, and scale data center infrastructure, troubleshoot hardware issues, and mentor junior engineers while participating in an on-call rotation.

Lead business development for Outcomes Research, develop go-to-market strategies, engage with clients, collaborate internally, and stay updated on RWE advancements.

The Principal Product Manager will oversee product planning and marketing, manage the product lifecycle, and engage with customers while ensuring alignment with company strategy and goals.

The VP of RIA Segment Marketing will lead Advisor360°'s RIA marketing, building strategies to enhance brand presence and drive growth through data-driven campaigns and compelling content.

The Associate Director Mission Impact Investing will oversee and ensure sound, innovative investments aligned with Britebound's mission, while conducting due diligence and providing technical assistance to investees.

The LICSW will assess and treat behavioral health disorders in primary care settings, provide crisis intervention, develop treatment plans, and collaborate with primary care providers.

As a Staff Engineer, you will lead technical challenges, architect solutions, mentor engineers, and define engineering excellence.

The Deployment Lead will oversee product strategy to technical execution, ensuring successful delivery of ASI's products for clients in aerospace and aviation.

Drive the growth of Air Space Intelligence within the U.S. Department of Defense through strategy development, relationship building, and collaboration with teams.

Lead the Talent Discovery team at MongoDB, focusing on strategic hiring through data analytics, team management, and optimal sourcing strategies.

The Senior Site Reliability Engineer will support, maintain and grow the Atlas platform, focusing on automating processes and running multi-cloud environments.

The Senior Manager of Strategy and Planning will lead customer success initiatives, analyze sales data, drive planning processes, and enhance productivity across teams.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

As a Distinguished Engineer at Capital One, you will drive innovation in cloud banking, leading technical solutions, mentoring teams, and developing advanced risk management products using AI and machine learning.

Lead design, build, deploy, and support production AI systems (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize large-scale model performance and collaborate with cross-functional teams to define technical vision and roadmap.