Top Tech Jobs & Startup Jobs in Boston, MA

Develop and grow strategic relationships across assigned life sciences key accounts, expand adoption of bioanalytical and biomarker services, achieve booking and revenue targets, manage account plans and pipelines, negotiate complex opportunities, and coordinate with scientific, operational, marketing, and program management teams. The role requires understanding CRO sales cycles, client pipelines, technical service offerings, and regulated bioanalytical environments.

Oversee Amazon and Walmart Marketplace operations and growth, managing catalog execution, product detail pages, A+ Content, Brand Stores, launches, marketing calendars, A/B testing, advertising optimization, reporting, and account health. Analyze Seller Central, advertising, and internal dashboard data to guide revenue and margin decisions. Coordinate with brand, creative, data, and agency partners while monitoring competitors, category trends, and marketplace policies.

Owns the full lifecycle of Glia’s ecosystem partnerships, including partner onboarding, commercial agreements, joint go-to-market planning, cross-functional launches, sales enablement, pipeline tracking, and resold-product deal support. The role manages partner relationships, coordinates with Legal, Product, Marketing, and Sales, supports commercial negotiations, and drives partner-led growth. Remote within the US with up to 30% travel.

Build and manage a new-business pipeline, lead the complete B2B sales cycle, understand manufacturers’ challenges, demonstrate AMFG’s AI-powered estimating and quoting software, and collaborate with technical teams to win customers internationally.

Support onboarding, activation, and integration of Amazon/Walmart accounts; assist CSMs with campaign strategy and optimization; monitor performance, deliver dashboards and business reviews; surface actionable insights; support customer conversations and product adoption; collaborate cross-functionally to ensure executional excellence.

Lead executive relationships with enterprise healthcare clients, owning client success, retention, renewal readiness, risk mitigation, and responsible growth. Apply deep healthcare revenue cycle expertise to improve collections, accounts receivable, denials, billing, and financial outcomes. Develop recovery and value realization plans, present performance reviews, coordinate cross-functional teams, manage escalations, identify expansion opportunities, and advise hospital CFOs and revenue cycle leaders on performance improvement.

Own the post-implementation lifecycle for B2B SaaS customers, driving adoption, retention, renewals, expansion, and measurable business outcomes. Build relationships with laboratory, quality, IT, and executive stakeholders; develop success plans; monitor usage and health metrics; guide LIMS configurations and integrations; lead enablement and renewal conversations; and collaborate with internal teams to resolve issues and improve products and processes.

Lead technical delivery for complex Atlassian consulting projects, including discovery, architecture, configuration, integrations, customizations, migrations, workflow implementation, and issue resolution. Guide consultants, translate business needs into technical solutions, document requirements and roadmaps, and deploy Jira and Confluence environments across server, Data Center, and cloud platforms. Advise clients on implementation approaches while ensuring performance, feasibility, and alignment with business outcomes.

Supports and delivers SAP GTS business application solutions through configuration, ABAP development, requirements analysis, testing, documentation, training, production support, and problem resolution. Leads requirements workshops and projects, coordinates resources and schedules, supports change management and disaster recovery, evaluates system alternatives, and provides 24-hour on-call support.

Build and maintain full-stack software products across frontend, backend, data, and AI layers. Own product architecture, deployment, observability, reliability, and maintenance; establish unified data models, secure access controls, AI guardrails, and engineering standards. Collaborate directly with non-engineering users to create self-service workflows and translate ambiguous needs into practical solutions. Ship production LLM-powered systems and support governed data transformation, quality, lineage, and testing.