Top Tech Jobs & Startup Jobs in Boston, MA

Manage product strategies and development for AI/ML SaaS products, oversee full product lifecycle, collaborate with engineering, and implement complex pricing strategies.

Lead strategy and delivery of enterprise reporting, define KPIs, manage cross-functional initiatives, and ensure data integrity for executive reporting.

The Implementation Specialist will onboard new customers to the EverHealth platform, provide training, manage onboarding projects, and offer consultancy to ensure customer satisfaction and successful software use.

The Growth Marketing Manager will drive demand generation strategies, manage campaigns, analyze data, enhance lead nurturing, and collaborate with sales and product teams to optimize revenue growth.

Lead web UX initiatives for EverPro marketing sites: research, information architecture, wireframes, prototypes, design systems, and CRO experimentation. Mentor designers, align cross-functional teams, run usability tests, and incorporate AI-driven practices to improve conversions and user experience.

Sell Listen360 SaaS: manage full sales cycle from discovery to close, build and maintain a mid-market and enterprise pipeline, perform executive-level demos, nurture prospect relationships, and occasionally travel to events or offices.

Own the enterprise reporting roadmap for the EverPro business, steward core KPIs, and ensure timely, accurate executive reporting. Lead cross-functional delivery, manage stakeholder expectations, enforce reporting QA/governance, and drive improvements in data availability and visualization.

Lead front-end revenue cycle operations—benefits verification, authorizations, coding, charge entry, and rejection resolution. Set strategy, KPIs, workflows, and staffing; ensure compliance, drive root-cause analysis, implement corrective actions, partner with back-end RCM and client teams, support audits, and report outcomes to leadership to optimize clean claim submission and reimbursement.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

Own renewal and engagement lifecycle for B2B SaaS customers: manage accounts, drive adoption/renewals, surface ROI and health metrics, collaborate cross-functionally, escalate issues, and contribute to enablement and scaling of Customer Success processes.