Top Remote Entry Level Jobs in Boston, MA

Perform top-of-funnel business development to identify, qualify, and generate pipeline. Prospect enterprise and mid-market accounts through phone, email, and LinkedIn; meet daily activity targets; manage leads in Salesforce and Salesloft; collaborate with Account Executives and Marketing to create qualified opportunities; deliver consultative value propositions and territory expertise to support quarterly revenue goals.

Identify and qualify sales opportunities for Dynatrace APM by outbound prospecting, researching accounts, calling senior IT leaders at Fortune 1000 companies, educating prospects on solutions, tracking activity in Salesforce, supporting marketing programs, and meeting defined metrics and territory forecast goals.

Manage a caseload of routine to moderately complex workers' compensation claims: investigate coverage and liability, set and adjust reserves, negotiate settlements within authority, refer to subrogation or SIU as needed, and collaborate with claimants, policyholders, attorneys, and partners. Training (including one week travel to Plano, TX) and reliable attendance are required.

Participate in an in-home study by installing two video-only devices for 7–10 days, share at least 120 hours of footage per device, review and delete clips on a provided laptop, and provide consent for yourself and other adult household members. Devices are delivered and picked up at your home; must live in the Boston area and be comfortable using a computer and communicating in English.

Build, train, and productionize machine learning models for fraud detection and identity verification. Perform data acquisition, feature engineering, experimentation, monitoring, and analyses to inform product, sales, and risk decisions. Collaborate with engineering, data acquisitions, and risk operations to maintain data quality and ship production-ready code. Research new fraud types and contribute to new product development across the ML lifecycle.

Build and deploy production ML models for fraud and identity risk across the full ML lifecycle. Research new fraud types, engineer features, write production-ready code, collaborate with cross-functional teams, and inform product, data acquisition, and business decisions.

Design, develop, and productionize machine learning models for fraud detection and identity verification. Perform end-to-end model lifecycle work including data acquisition, feature engineering, training, experimentation, deployment, and monitoring. Research new fraud types, build product-focused models, write production-ready code, and collaborate with engineering, operations, and data teams to support product and business needs.

Promote information security best practices, identify and report security risks, and evaluate how data is stored, processed, and transmitted. Ensure compliance with data privacy standards (GDPR, CCPA) and integrate data protection throughout the information lifecycle.

Own and close software license opportunities for developer-focused document SDKs. Qualify inbound leads, prospect named accounts, collaborate with solution engineers, position product versus competitors, develop GTM strategies, gather market intelligence, and meet quota.

Produce real-time closed captions by re-speaking into web-based software for live events. Work remotely on project-based assignments, complete training/qualification, perform pre-event checks, and ensure accessibility with clear speech, accurate grammar, and focused, timely captioning.

Join Adswerve's talent community for Adobe experts, focusing on data consultancy and digital marketing optimization for clients.

Handle inbound calls and perform outbound lapse recovery to retain life insurance policyholders. Assess needs, recommend solutions, document interactions, maintain product knowledge, and meet call center KPIs during evening and weekend shifts.