Top Tech Jobs & Startup Jobs in Boston, MA

Define and manage the MomentiveIQ platform integrations roadmap, collaborating with engineering and product teams to ensure effective data movement and integration across the portfolio, focusing on AI-enhanced solutions.

Own U.S. sales & use tax and Canadian GST/HST compliance end-to-end, review international VAT/GST filings, reconcile accounts, respond to tax authorities, support corporate income tax tasks, and assist with process improvement and automation within the Tax Department.

Lead product management for AI tools in software/SaaS, manage product lifecycle, drive strategic roadmap, and ensure product adoption through iterative shipping and user feedback.

Provide application support for MIP Accounting to clerks, accountants, CFOs and HR/payroll staff via ticketing, phone, web and chat. Troubleshoot errors, replicate issues, provide how-to guidance, create knowledge base content, and escalate or collaborate on resolutions.

Lead enterprise data architecture, migrations, and data services; define standards and roadmaps; oversee complex ETL and third-party integrations; deliver analytics, BI dashboards, and commercialization of AI analytics offerings; build the Data Strategy & Services organization and ensure continuity for legacy clients while partnering across Product, Engineering, Sales, and Customer Success.

Respond to inbound leads, qualify and enrich CRM records, route opportunities to sales/support, perform outbound follow-ups, maintain Salesforce data, and provide insights to improve marketing and sales processes.

Lead multi-year product strategy for a fund-accounting product family, embed AI as core infrastructure, mentor product leaders, align engineering to go-to-market, drive delivery, adoption, and revenue while championing AI-assisted workflows and portfolio governance.

Own the technical product roadmap for a SaaS platform area, driving platform infrastructure, APIs, migrations, security, and scaling. Align Architecture and Engineering with Customer Success, Sales, and other teams; triage operational issues; monitor adoption and performance metrics; act as Product Owner when needed. Use AI tools daily to prototype, analyze data, draft technical specifications, and accelerate discovery while improving Product/Architecture handoffs.

Lead an AI-first product area end-to-end: define roadmap, engage customers, translate needs into initiatives, measure KPIs, prototype with AI, align cross-functional teams, mentor product staff, and drive adoption, retention, and revenue in a SaaS environment.