Top Tech Jobs & Startup Jobs in Boston, MA

Own product operations: build AI-native workflows (Claude Code) to automate roadmap assembly and feedback analysis; lead cross-functional program and project management; align Product, Marketing, and Support; capture and synthesize customer/field feedback to inform prioritization and execution.

The Sales Development Representative will identify sales opportunities through outbound prospecting and inbound leads, setting up appointments for the enterprise sales team while collaborating with team members to drive the sales cycle.

Own the end-to-end renewal lifecycle for a global enterprise portfolio: engage customers 90–120 days out, negotiate terms, identify upsell/cross-sell opportunities, maintain Salesforce/CPQ forecast data, coordinate Sales/Legal/Finance/CS, and mitigate churn to retain recurring revenue.

Lead and manage Solutions Engineers to enhance pre-sales engagements and drive adoption of Saviynt's identity governance and cloud security solutions, while collaborating with various teams to align technical strategies with business goals.

The Sr. Director, Business Development will lead complex OEM partnerships and strategic pursuits, managing multi-million dollar commercial agreements, negotiations, and joint business strategies with top-tier partners.

Drive sales for IaaS Cloud Security and Access Governance solutions. Manage full sales cycle and exceed quotas across assigned accounts.

Lead global revenue accounting for a high-growth SaaS company: own ASC 606 policy, NetSuite ARM configuration, month-end revenue close, deal desk guidance, audit/compliance, and SaaS metrics analysis.

Lead NetSuite administration and finance automation for a fast-growing SaaS company. Define systems strategy, optimize NetSuite (configs, saved searches, custom records, ARM), automate intercompany eliminations and SaaS reporting, integrate upstream systems, and establish data governance and audit controls.

Lead intake, scoping, and delivery of RevOps and Salesforce initiatives. Translate business needs into technical requirements, manage mid-sized projects end-to-end, ensure data integrity across systems, identify process improvements, prioritize requests, and act as primary stakeholder contact to drive scalable, maintainable revenue operations solutions.

Lead the design and deployment of AI-driven capabilities across CS tech stack, embedding AI in workflows for smarter decision-making and improved efficiency.