Top Tech Jobs & Startup Jobs in Boston, MA

Supports full-cycle recruiting, including sourcing, screening, interview coordination, candidate communication, offers, pre-employment requirements, onboarding, recruiting events, pipeline development, reporting, and ATS maintenance. Partners with hiring managers and HR to fill security and corporate roles, improve recruiting processes, ensure compliance, and provide a strong candidate experience. The remote role requires occasional domestic travel to career fairs, military transition events, conferences, and industry partnerships.

Leads global product marketing for PAYG phones, including positioning, portfolio strategy, launches, GTM execution, campaigns, digital acquisition, customer journey optimization, market intelligence, sales enablement, and cross-functional coordination. The role supports country teams and partners across emerging markets while optimizing marketing performance, customer adoption, usage, renewals, and revenue growth.

Leads and scales enterprise account management, driving retention, expansion sales, renewals, executive relationships, forecasting, and client satisfaction. Manages Account Managers, establishes performance KPIs, oversees complex negotiations, identifies cross-sell opportunities, and partners with Sales, Product, Support, Finance, and Client Success teams. The role also improves CRM processes, account health tracking, and operational scalability across complex healthcare enterprise accounts.

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Develops and executes satellite integration, verification, and validation activities across Flatsat, HWIL, SWIL, and simulator environments. Responsibilities include requirements traceability, test planning, automated TCL scripting for TERMA CCS5, formal test conduction, troubleshooting, data analysis, and test reporting. Supports satellite architecture, CONOPS, interface documentation, and requirements development while coordinating multidisciplinary engineering activities.

Own the full enterprise sales cycle for AI-enabled software solutions, from outbound prospecting and technical discovery through negotiation and close. Build relationships with CTOs, VP Engineering, and technical leaders; generate and manage pipeline; navigate procurement and security reviews; and collaborate with Solutions Architecture, Delivery, and Customer Success teams to support strong customer outcomes.

Bring companies to Refer by identifying hiring organizations, pitching the AI career agent, and converting them into signed customers. This commission-only role offers complete schedule and location flexibility, with earnings based on each company acquired and no base salary or commission cap.

Provides bilingual Portuguese customer support by answering inquiries, explaining products and services, troubleshooting issues, resolving complaints, and documenting customer interactions. Maintains current product knowledge and delivers professional service remotely. Candidates must be U.S. residents, at least 18, have a high school diploma or equivalent, pass background and drug screenings, and meet specified home-office technology requirements.

Lead enterprise customer onboarding and software implementations, translating business requirements into system designs and guiding launches through project milestones. Train customers and internal teams, manage VP and C-suite stakeholders, resolve implementation challenges, and collaborate across Support, Integration, Product, and Sales. Drive continuous improvement, change management, and customer success while working with configurable QMS and frontline-worker software in regulated industries.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.