Top Tech Jobs & Startup Jobs in Boston, MA

Conduct multi-channel outbound prospecting through email, phone, LinkedIn, and product signals. Research accounts, identify buying committees, qualify prospects, and book meetings for Account Executives. Manage the PLG-to-pipeline motion, use AI tools to personalize outreach, test messaging and segments, maintain clean CRM data, and provide prospect feedback to improve sales and marketing processes.

Own Sumble’s growth engine across lifecycle marketing, referral loops, paid acquisition, GTM systems, website conversion, experimentation, and attribution. The role partners with product, engineering, sales, and RevOps to build automated growth systems, manage paid media budgets, improve funnel performance, prototype internal tools using company data and APIs, and establish a rigorous weekly testing and reporting cadence.

Own product marketing for Sumble’s account intelligence platform, including positioning, messaging, launches, buyer research, competitive intelligence, solution packaging, and analyst relations. Partner with Product, Engineering, Sales, RevOps, and Growth to influence roadmap decisions, drive adoption and pipeline, and communicate technical capabilities such as APIs, MCP, data models, and agent workflows to different buyer segments.

Lead brand and marketing design across the website, launch materials, decks, social, and campaigns while expanding into end-to-end product design. Develop reusable components and visual standards spanning product and brand, and use AI tools for rapid prototyping. Collaborate closely with product, engineering, founders, and marketing to solve ambiguous problems, improve user experiences, and maintain high visual and UX quality.

Early-stage Account Executive responsible for full sales cycle: prospecting, qualifying, closing, onboarding, and customer success. Help build and document the initial sales playbook and establish predictable revenue growth.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.