Top Tech Jobs & Startup Jobs in Boston, MA

Build and operate signal-based GTM activation workflows across Common Room, Salesforce, and sequencing platforms. Design enrichment waterfalls, translate audiences into sequences and SDR tasks, partner with Revenue Technology on Salesforce changes, and instrument dashboards, QA checks, and experiments to improve conversion and speed.

The Director of Enterprise Sales will lead and grow a team of Enterprise Account Executives, drive performance, and manage strategic enterprise sales processes to exceed revenue targets. Responsibilities include recruiting, sales execution, collaborating with cross-functional teams, and providing accurate revenue forecasts.

Lead FP&A operations including maintaining the financial model, headcount planning, budget tracking, GTM capacity planning with RevOps, deal pricing support, month/quarter close reporting, KPI dashboards, and implementing a modern financial planning/EPM solution.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

Be the technical voice for Cresta's AI agent platform: produce developer content (blogs, tutorials, videos), build and maintain sample apps and integrations, run workshops and speak at events, collect developer feedback for product teams, and stay hands-on with agent building and testing (prompt engineering, function calling, RAG).

The Customer Strategy Director will partner with strategic customers, leading engagements, defining deployment strategies, and driving value realization through Cresta's AI solutions.

The Senior Solutions Architect leads technical architecture, oversees customer integrations, and collaborates with various teams to enhance the Cresta platform's enterprise integration.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

The AI Deployment Manager will lead customer AI implementations, ensuring successful deployments that deliver measurable business outcomes. Responsibilities include project management, customer engagement, and collaboration with internal teams.

As an AI Success Manager, you'll partner with Fortune 500 customers to drive AI adoption, measure impacts, and consult on organizational changes. You'll balance strategy and execution, guide product usage, and manage account health across multiple stakeholders.