Top Tech Jobs & Startup Jobs in Boston, MA

Staff Technical Program Manager will lead execution for emerging AI-native products from discovery through general availability. Responsibilities include coordinating engineering pods and cross-functional teams, defining milestones and launch-readiness criteria, managing risks and dependencies, establishing operating cadences and health metrics, improving program-management systems, and coaching technical leaders and peer program managers. The role requires strong technical judgment, comfort with ambiguity, executive communication, and experience launching products in emerging-technology environments.

Architect and operate scalable backend systems, APIs, distributed services, and secure data platforms using Python and related technologies. Partner with data science and ML teams to productionize AI capabilities, lead cross-team technical initiatives, improve engineering standards, and mentor engineers. Own systems throughout the product lifecycle while emphasizing reliability, observability, performance, privacy, and data integrity.

Partners with account executives, customers, Customer Success, and Product to lead discovery, solution design, technical validation, business-case development, demonstrations, workshops, and trials. Translates customer objectives into Webflow solutions, communicates technical value, influences product direction, and supports multiple opportunities. The role requires consultative selling, strong storytelling and presentation skills, familiarity with APIs and web technologies, creative AI-assisted problem-solving, and up to 25% travel.

Leads solutions engineering for enterprise customers by partnering with Account Executives, conducting discovery, designing and validating solutions, developing business cases, delivering product demonstrations, and leading workshops and trials. The role requires deep Webflow, web programming, and API expertise, strong consultative selling and storytelling skills, customer advocacy, cross-functional leadership, and up to 25% travel.

Lead end-to-end product design for Webflow’s Agentic CMS, shaping content authoring, governance, localization, and publishing across sites, channels, and AI agents. Partner with product managers, engineers, and researchers on content models, API affordances, and product strategy. Design coherent systems for complex enterprise workflows, create prototypes, execute detailed interaction and visual design, and influence senior stakeholders while advancing AI-assisted design practices.

Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.

Leads global sales compensation design, administration, analytics, payouts, and non-standard deal strategy. Partners with Sales, Finance, RevOps, Legal, and Total Rewards to align incentive programs with business goals. Oversees compensation metrics, quota and capacity modeling, reporting, policies, enablement, and executive insights. Manages and develops a team responsible for sales compensation and deal strategy, including analysis of custom deal structures.

Own and close complex SaaS deals ($50k+ ACV) for mid-market accounts (300–2,500 employees). Build outbound pipeline, run full sales cycle, perform consultative discovery, negotiate multi-year contracts, collaborate with cross-functional teams, and travel (~25%) for onboarding and events.

Leads Webflow’s Revenue Marketing organization and owns marketing-sourced and influenced pipeline, iARR, forecasting, channel ROI, and full-funnel performance. Builds demand creation and capture programs, ABM initiatives, partner-led growth, lifecycle and expansion marketing, and web conversion optimization. Partners with Sales, Partnerships, Product, Customer Success, and RevOps to develop integrated revenue plays, feedback loops, customer proof, and AI-enabled marketing operations. Reports to the Chief Marketing Officer and leads a multidisciplinary team.

Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.