Top Tech Jobs & Startup Jobs in Boston, MA

Partner with Sales and Success teams to support enterprise customer acquisition and expansion. Deliver technical presentations, design and deploy customer-specific proof-of-value projects, build reports and dashboards, support RFPs, maintain demo environments, and create AI-driven workflow solutions and integrations. The role requires strategic customer engagement, business process mapping, value selling, and up to 50% travel across the Northeast.

Leads a recruiter pod while personally managing quota-carrying GTM hiring across sales teams and regions. Coaches recruiters, owns hiring quality and funnel performance, partners with sales leadership, and builds an AI-forward recruiting function. The role also develops Boston’s GTM talent community through events, manages reporting and forecasting, and serves as a strategic talent partner for territories, competitors, and workforce planning.

Own and improve ClickUp’s voice AI systems, including real-time speech-to-text, audio processing, context-aware transcription, LLM post-processing, mention resolution, formatting, and voice-to-action workflows. Evaluate and integrate ASR models for accuracy, latency, and cost, while collaborating across product and platform teams to deliver voice and multimodal assistant features across desktop, mobile, web, and browser extension products.

Partners with Sales, Ecosystem, and Revenue Operations to develop financial forecasts, models, recurring reports, variance analyses, and actionable recommendations. The role supports investment decisions, target attainment, efficient growth, and day-to-day business planning while using AI-powered workflows to improve financial analysis and reporting.

Design, scale, and optimize ClickUp's search infrastructure using OpenSearch/Elasticsearch. Improve relevance, speed, and real-time indexing, build vector search capabilities, create evaluation frameworks, and collaborate with AI/backend/product teams to integrate and troubleshoot search at scale.

Lead enterprise SaaS implementations from pre-sales through go-live, stabilization, adoption, and handoff. Own client relationships, delivery scope, schedules, budgets, margins, governance, risks, change management, AI adoption, and value realization. Coordinate distributed cross-functional teams and executive stakeholders, manage escalations, identify expansion opportunities, and help build ClickUp’s Engagement Management practice through playbooks, templates, and AI-enabled workflows.

Leads a hands-on product engineering team, owning hiring, development, delivery, architecture, code quality, reliability, and operational health. Partners with product and design to prioritize customer-focused work, manages milestones and dependencies, and contributes directly through code reviews, debugging, prototypes, and production fixes. Builds AI-native engineering workflows using agentic tools while maintaining security, correctness, human review, and strong engineering standards.

Own the post-sales lifecycle for enterprise SaaS customers, leading implementation, onboarding, adoption, workflow optimization, AI enablement, and account health. Design scalable workflows, automations, and AI agents tied to customer outcomes. Manage stakeholder relationships, identify expansion and renewal opportunities, and collaborate with Sales, Product, Engineering, and Support. Use adoption data and account insights to drive measurable business value across a strategic book of business.

Own strategic customer relationships by leading onboarding, implementation, adoption, account health, workflow optimization, AI enablement, and expansion efforts. Translate customer requirements into scalable ClickUp workflows, templates, integrations, automations, and AI agents. Monitor usage and business outcomes, conduct workflow discovery, provide training and change management, and collaborate with Sales, Product, Engineering, and Support to drive renewals, growth, and measurable customer value.

Lead a developer productivity engineering team responsible for CI/CD, build systems, internal tooling, and AI-augmented development workflows. Improve developer experience, engineering velocity, and software quality through scalable infrastructure, productivity metrics, AI tool adoption, coaching, and governance. Partner cross-functionally, mentor engineers, evaluate AI technologies and costs, and establish standards for security, correctness, licensing, and data handling.