Top Tech Jobs & Startup Jobs in Boston, MA

The Integration System Engineer IV configures integration endpoints for ERP systems, collaborates with customers, designs solutions, manages projects, develops ERP configurations, conducts testing, and provides documentation and support.

The Operations Analyst focuses on optimizing processes and implementing improvements to drive business efficiency and revenue. Responsibilities include data analysis, project management, and cross-functional collaboration.

The Enterprise Account Executive is responsible for revenue growth and customer success within assigned accounts, leading the sales cycle and building relationships with senior-level clients.

Create high-quality training content for Google Cloud on a freelance basis, focusing on various areas like DevOps, ML, and Data Engineering.

The Executive Assistant supports senior leaders by managing schedules, coordinating meetings, preparing documents, and maintaining filing systems in a fast-paced environment.

Lead research initiatives to connect trading workflows with product design, applying various methodologies to optimize the user experience for traders.

The Payments Solutions Consultant acts as a technical advisor, partnering with sales to align payment solutions with client needs, delivering demos, and addressing technical inquiries.

Lead AI/ML engineering team, define technical vision, manage complex AI projects, and ensure ethical AI solutions while collaborating cross-functionally.

Lead the global monetization strategy, pricing architecture, and packaging framework for Drata’s product suite. Collaborate with cross-functional teams to enhance growth, operationalize pricing, and establish pricing governance. Conduct market research and influence executive decisions for pricing excellence.

The Senior Technical Support Specialist will manage escalations, provide technical leadership, and support enterprise customers with complex issues and integrations.

Support customer success initiatives by creating and implementing documents, collaborating with teams, and providing exceptional customer service while ensuring accuracy with XBRL tagging.

The Senior Implementation Consultant delivers solutions within Workiva products, interfaces with customers to achieve outcomes, and mentors peers. Requires extensive experience in service delivery roles, particularly finance or related fields, and bilingual proficiency in Portuguese.

Lead the revenue accounting and operations teams, ensure compliance with ASC 606, optimize revenue processes, and support strategic decision-making through data analysis.

The Product Manager will oversee product lifecycle, identify new product opportunities, and lead cross-functional teams to launch impactful features in the cryptocurrency domain.

The Global Regulatory Policy Manager at Coinbase will develop regulatory policy positions, draft consultation materials, engage with regulators, and work cross-functionally on emergent issues related to financial regulations and blockchain technology.

Role involves supporting partnerships across various Base initiatives, creating go-to-market strategies, and maintaining relationships with stakeholders. Requires extensive experience in technology or finance, particularly in deal execution.

The Account Executive will manage the full sales cycle in healthcare, build relationships, and help organizations meet workforce needs with Stepful's solutions.

Lead the development of financial technology solutions, design and implement features, and improve existing systems while mentoring fellow engineers.

The Software Engineer will design and implement features for applications, collaborate with teams, and enhance systems related to financial services and bitcoin.

As a Senior Software Engineer, you will design and implement features, improve systems, and collaborate on financial technology solutions while mentoring other engineers.

Assist in handling legal requests for customer information, perform account reviews, and collaborate with cross-functional teams while managing sensitive content.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.