Top Hybrid Entry Level Jobs in Boston, MA

Develop market intelligence, forecasting, statistical models, scenario analyses, and automated reporting for supply chain decisions. Integrate internal and external datasets using Python, R, SQL, and other tools; build dashboards; support data governance; and translate analytical findings into recommendations for procurement, planning, and executive stakeholders.

Operates and improves structured content systems and publishing workflows across multiple content types and markets. Manages Contentful models, databases, metadata, templates, queues, and quality checks; uses AirOps and LLM tools to support content production. Reviews accuracy, brand consistency, SEO, and AI-search citation visibility while troubleshooting workflow issues. Partners with editorial, SEO, engineering, and analytics teams to document processes, improve automation, and scale reliable content operations.

The Business Development Representative will support Mirakl’s growth by helping expand adoption of its enterprise marketplace, multichannel selling, retail media, and commerce infrastructure solutions. The posting provides limited role-specific responsibilities or qualifications, but the position is expected to contribute to business development within a global B2B technology company and collaborate in a client-focused, expertise-driven culture.

Drive new enterprise business across 1–3 major global accounts by generating pipeline, managing complex sales cycles, forecasting accurately, presenting solutions, negotiating agreements, and building relationships with IT, R&D, data science, and executive stakeholders. Collaborate with marketing, product, customer success, and strategic partners while maintaining Salesforce data and applying MEDDICC sales practices.

Owns complex technical escalations from Product Support through resolution. Investigates bugs, integration failures, authentication issues, and data problems using logs, monitoring, SQL, APIs, and backend tools. Reproduces issues, performs root-cause analysis, manages incident communications, partners with Engineering, verifies fixes, and creates tooling, dashboards, documentation, runbooks, and monitoring improvements to reduce recurring escalations.

Manages SaaS revenue recognition, journal entries, accruals, deferred revenue, account reconciliations, and month-end and quarter-end close activities. Supports financial statement preparation, audits, contract validation, and compliance with accounting standards. The role also improves revenue reporting, analyzes SaaS metrics, and develops scalable accounting processes while collaborating with sales, operations, and finance teams.

Supports the Thought Leadership team and national communications efforts through calendar coordination, meeting notes, same-day readouts, request intake and routing, media monitoring, and editorial calendar maintenance in Asana. The fellow provides administrative execution and follow-through while exercising discretion with sensitive executive- and board-related information. This is a six-month, part-time fellowship of up to 20 hours per week.

Qualifies and engages inbound prospects through phone, email, and social outreach; schedules qualified consultations for Sales Executives; maintains prospect data in Salesforce; explains Perk’s value proposition; collaborates with Marketing to improve lead generation and qualification; and develops expertise in the company’s SaaS travel and spend management platform.

Complete a nine-month sales training program covering employee benefits, product knowledge, and professional selling. Support account executives by meeting with brokers and customers, making cold calls, conducting enrollment meetings and benefit fairs, providing post-sale service, and assisting with territory management. Build communication, presentation, negotiation, analytical, organizational, and relationship-building skills while learning to use approved AI tools. Successful completion prepares the trainee to pursue an account executive role.

Designs conceptual, logical, and physical data models for R&D research and clinical domains. Translates scientific and business requirements into reusable, scalable, AI-ready data structures that support analytics, machine learning, data integration, and standardized workflows. Partners with domain experts, data engineers, architects, data scientists, and governance teams to apply enterprise standards, schemas, ontologies, metadata, quality rules, and lineage. Promotes shared data assets and ensures models are implementable, interoperable, and aligned with evolving R&D needs.