Top Tech Jobs & Startup Jobs in Boston, MA

Enterprise Sales Executive responsible for generating leads, managing the full sales lifecycle, cultivating customer and partner relationships, maintaining CRM and revenue forecasts, and selling Pearson’s SaaS solutions to enterprise HR, talent, learning, and technology leaders. The role requires success in quota-carrying sales, complex SaaS transactions, direct and partner-led selling, and knowledge of learning, data analytics, and AI technologies.

Hands-on Delivery Engineer supporting customer implementations, integrations, technical demonstrations, production events, and issue resolution. The role translates customer and contractual requirements into technical solutions, investigates system behavior across APIs, configurations, logs, and data flows, and collaborates with engineering, product, implementation, operations, security, and infrastructure teams. It is designed for early-career technical talent developing broad expertise across customer delivery, technology, product, and support.

Coordinates education assessment programs and projects from initiation through closure. Manages customer and stakeholder relationships, schedules, scope, budgets, risks, quality, change control, contracts, and project documentation. Prepares status reports, supports business development and financial reviews, and identifies process improvements. Serves as a day-to-day customer and cross-functional point of contact while ensuring deliverables meet requirements and customer expectations.

Own the product strategy and outcome-based roadmaps for shared test security platforms spanning identity, behavior, location, platform, and environment domains. Monitor threats and competitors, conduct continuous discovery, define reusable security capabilities, and measure detection performance. Partner with data science, engineering, architecture, and security operations on AI/ML detection, evidence defensibility, and production delivery while advancing the organization’s transition from project-based delivery to durable product ownership.

Owns strategy and subject-matter expertise for K-12 and CTE state adoption bids. Researches state requirements, enrollment data, competitors, calendars, and procurement processes; guides RFP and Bid Management teams; communicates requirements to Product and Content; coordinates district reviews, presentations, and submission processes; manages state and district purchasing knowledge; and develops post-adoption execution strategies, roadshows, and district engagement plans.

Leads paid search strategy, execution, optimization, testing, reporting, and budget efficiency across Google Ads, Microsoft Ads, SA360, and related platforms. Manages internal specialists and agency partners, oversees campaign measurement and attribution, analyzes performance, supports forecasting, and collaborates with Analytics, Finance, Enrollment, and Marketing teams to improve applications, enrollment, and product adoption.

Owns business analysis for system enhancements, integrations, operational changes, and reporting initiatives. Elicits and documents functional and technical requirements, workflows, data mappings, user stories, acceptance criteria, and system impacts. Partners with Product, Engineering, Data, QA, Operations, and business stakeholders to refine backlogs, manage dependencies, support delivery readiness, improve processes, and identify automation or AI-enabled opportunities.

Designs, builds, and evaluates complete AI systems for Pearson’s K-12 assessment platform. Responsibilities include predictive machine learning, statistical methods, retrieval, knowledge graphs, generative and agentic AI, deterministic services, human review, and system integration. The role develops evaluation datasets and regression suites, analyzes failure modes, supports model adaptation, monitors deployed systems, and collaborates with engineers, psychometricians, learning scientists, and content experts to create transparent, reliable, and auditable AI capabilities.

Leads end-to-end delivery of complex curriculum and content-development projects from initiation through launch and closeout. Responsibilities include planning, scheduling, dependency and risk management, stakeholder alignment, partner coordination, quality assurance, remediation, status reporting, governance, and process improvement. The role manages cross-functional and distributed teams, maintains project documentation, drives accountability, and uses dashboards, workflow automation, collaboration tools, and AI to improve delivery visibility and efficiency.

Design and build Pearson’s knowledge architecture for AI-powered K-12 assessment and learning systems. Responsibilities include developing knowledge graphs, ontologies, schemas, data pipelines, APIs, retrieval and context architectures, and hybrid AI integrations. The role establishes provenance, versioning, traceability, quality measures, and responsible AI practices while partnering with engineers, AI scientists, psychometricians, learning scientists, and content experts. It requires autonomous innovation, rapid prototyping, rigorous evaluation, and translating educational and assessment expertise into computational representations.