Top Tech Jobs & Startup Jobs in Boston, MA

Lead end-to-end delivery of technical supply-chain programs (forecasting, inventory planning, replenishment). Translate business needs into technical requirements, coordinate engineering, data science, product, and operations, manage dependencies and risks, support architecture discussions, track roadmaps and metrics, partner with vendors, and drive continuous improvement to optimize inventory health and in-stock performance.

Manages business operations for Takeda’s Pharmaceutical Sciences functions, supporting operational systems, budgeting, headcount tracking, contracting, reporting, onboarding, communications, training, and process improvement. Coordinates cross-functional initiatives, workstreams, meetings, events, and leadership materials while monitoring deadlines and information flow. Uses Power BI, SharePoint, and Microsoft Office tools to develop operational solutions and support strategic priorities.

The AI Application Engineer will design and deploy AI solutions, integrate them into cloud services, and collaborate with teams to enhance operational workflows.

Manages sales territory and account governance, including territory design, account assignment, hierarchies, recurring billing alignment, quota inputs, data integrity, reporting, and operational requests. Reconciles data across systems, investigates exceptions, coordinates corrections, and partners with Sales, Finance, Marketing, and leadership to maintain accurate coverage and service levels.

Maintains lead-routing rules, monitors service levels, and analyzes sales funnel, pipeline, velocity, conversion, and Outreach engagement data. Reconciles information across CRM and sales systems, produces recurring reports and dashboards, investigates data discrepancies, and provides actionable insights to Sales Operations and leadership. The role also supports data quality, operational requests, and AI-augmented workflow improvements.

Designs and develops scalable, concurrent software for HPE’s Alletra enterprise storage platform using modern C++ and Linux. Responsibilities include building distributed storage features, debugging performance and reliability issues, creating automated tests, participating in architecture and code reviews, integrating technologies, and mentoring engineers. The role requires expertise in systems infrastructure, multithreaded programming, algorithms, data structures, and software architecture.

Executive leader responsible for the strategy, P&L, portfolio, commercial model, operational performance, customer experience, and go-to-market execution of HPE GreenLake Flex Solutions. The role transforms global as-a-service operations across CPQ, pricing, contracting, order activation, metering, billing, renewals, and expansion; integrates hybrid-cloud technologies; drives profitable growth; and leads customers, partners, and a global organization.

Leads complex enterprise AI deployments, escalations, and go-live engagements. Sets strategy for GAIL tooling, infrastructure, playbooks, and quality standards; drives systemic improvements across customer engagements; mentors engineers; and partners with product, engineering, and customer success leaders. The role requires hands-on software engineering, AI and GenAI integration, prompt engineering, shared-platform development, executive communication, and organizational influence.

Design, develop, and operate scalable VoIP infrastructure supporting AI-driven voice workloads. Integrate telephony systems, LLM applications, and real-time communication platforms while improving observability, reliability, deployment, and SRE practices. Build tested, maintainable software across telephony and AI layers, support production environments, collaborate with engineering and product teams, and mentor colleagues.

Own customer security reviews, questionnaires, RFP responses, and due-diligence requests. Support SOC 2 Type II and ISO audits by coordinating evidence, auditor interactions, and remediation. Maintain security, privacy, and AI governance policies and controls, including frameworks such as ISO/IEC 42001 and NIST AI RMF. Partner with Product, Engineering, DevOps, Security, Sales, and Legal to explain cloud controls, manage customer trust requirements, and address control gaps.

Lead strategic and tactical projects across the product lifecycle, managing plans, governance, scope, timelines, dependencies, budgets, risks, and documentation. Build stakeholder relationships, communicate updates and recommendations to leadership, coordinate with Product Operations, and implement scalable process improvements. The role requires cross-functional collaboration, Agile, Waterfall, or Hybrid methodology experience, and strong proficiency with spreadsheet and presentation tools.

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and production implementation. Collaborate with data scientists, software and machine learning engineers, and product managers to deliver scalable AI products. Research LLMs, optimization, fine-tuning, and agentic AI; publish findings through technical reports and conference submissions; and independently pursue impactful research agendas.

Leads applied AI research and teams developing foundation models and production-scale machine learning systems. Sets research strategy, mentors applied scientists, partners with engineering and product leaders, and translates advanced AI research into customer-facing products. Requires expertise in large-scale deep learning, LLMs, optimization, model deployment, research publications, and organizational leadership.

Leads Optum Health’s AI-enabled product strategy and portfolio, owning ambiguous product bets from discovery through deployment, measurement, adoption, and scale. Defines problems, roadmaps, product requirements, success metrics, business cases, and governance standards. Partners with clinical, engineering, finance, legal, security, privacy, and operational teams to build responsible AI products. Represents product evidence to executives, develops change-management plans, establishes product practices, and scales proven solutions across markets.

Develop liquidity forecasting and stress-testing models, improve automation and scenario analysis, assess contingency funding needs, and create liquidity stress playbooks. Evaluate internal liquidity measures against rating agency and regulatory views, conduct peer analysis, and deliver insights to senior leadership. Collaborate with Treasury, Investment Management, Actuarial, Risk Management, FP&A, and Controllership teams.

Build and operate Java and Spring Boot backend services that enrich automotive leads, process high-volume event streams, and power dealer APIs. Responsibilities include technical design, implementation, testing, code review, production support, observability, and on-call participation. The role also involves developing LLM-backed intelligence features, collaborating with product and design, and improving deployment and operational practices.