Top Tech Jobs & Startup Jobs in Boston, MA

Coordinate and execute digital growth marketing campaigns across paid social, display, video, audio, search, and programmatic channels. Manage timelines, budgets, targeting, tracking, stakeholders, agencies, and vendors. Analyze campaign performance, develop business recommendations, support marketing technology and attribution initiatives, create reporting and documentation, and improve campaign efficiency, measurement, and return on marketing investment.

Owns product priorities, backlog management, requirements, roadmap execution, and continuous improvement for digital landing pages and eCommerce experiences. Partners with engineering, UX, analytics, data science, business stakeholders, and vendors to deliver customer-focused capabilities. Uses analytics, experimentation, KPIs, Agile practices, CMS platforms, and AI-enabled tools to optimize performance, manage launches, resolve risks, and drive measurable business outcomes.

Manage and optimize paid search campaigns across Google Ads and Microsoft Advertising. Responsibilities include campaign setup, keyword and bid management, budget pacing, promotional offer implementation, performance analysis, reporting, testing, and product feed optimization. The role partners with Marketing, Merchandising, Analytics, and Pricing teams to improve CTR, CPC, CPA, conversion rate, and ROAS.

Leads paid search strategy and execution across Google Ads and Microsoft Ads, managing budgets, bidding, targeting, keyword strategy, testing, optimization, reporting, and performance analysis. Partners with Marketing, Merchandising, Analytics, and Pricing teams to support growth, promotions, and customer acquisition. Uses data to improve ROAS, CPA, conversion rates, and revenue impact while evaluating automation, platform capabilities, and emerging trends.

Leads U.S. product engineering for private-brand products from concept through commercialization. Translates business needs into specifications and engineering solutions, evaluates prototypes, improves manufacturability and reliability, supports suppliers and factories, investigates product issues, and drives value engineering, quality, cost, and continuous improvement initiatives. Partners across product development, sourcing, quality, operations, and design while guiding complex projects and advising leaders.

Supports financial data gathering, analysis, reporting, dashboard creation, process documentation, automation, and continuous improvement initiatives. The intern will use tools such as Excel, Tableau, Power BI, Alteryx, and Python to transform data into actionable insights, identify trends, streamline manual tasks, and contribute to presentations. The role involves collaboration with finance analysts and cross-functional business partners while developing analytical, communication, and financial systems skills.

Leads enterprise AI solutions for pricing, forecasting, optimization, and decision intelligence. Manages AI Engineering and Data Engineering teams, technical roadmaps, MLOps, cloud platforms, budgets, and cross-functional delivery. Applies machine learning, statistical modeling, and optimization to improve revenue, margins, customer value, and operational efficiency. Coaches and recruits talent while measuring business impact and driving continuous improvement.

Manages planning, coordination, publishing, and performance tracking for Staples’ enterprise and business LinkedIn channels. Develops and adapts social copy, supports thought leadership and short-form video, monitors trends and communities, coordinates cross-functional content workflows, and contributes to reporting. Partners with Brand, Creative, Marketing, PR, influencers, creators, agencies, and external partners to deliver timely, platform-appropriate content aligned with campaigns and brand voice.

Prepare journal entries, support the month-end close, reconcile balance sheet accounts, assist with financial reporting and audits, maintain internal controls, and improve accounting processes. The role requires cross-functional collaboration, strong analytical skills, attention to detail, and effective communication. Basic qualifications include a bachelor’s degree and 2+ years of relevant experience; CPA candidacy and corporate accounting experience are preferred.

Leads enterprise adoption of agentic AI across the software development lifecycle. Owns AI platform strategy, developer experience, governance, security, ecosystem integration, vendor management, and productivity measurement. Directs engineering transformation across requirements, development, testing, deployment, and observability while optimizing model performance, cost, scalability, and reliability. Partners with Security, Risk, Legal, Infrastructure, and Product teams and advises executives on responsible AI adoption.