Top Tech Jobs & Startup Jobs in Boston, MA

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

Lead a multidisciplinary engineering and data science team in a forward-deployed model to deliver production-ready, AI-powered solutions. Own portfolio delivery, coach and develop talent, act as player‑coach on engagements, drive engineering excellence and responsible AI practices, and partner with leaders to ensure operational health and reusable accelerators.

Leads strategic user experience research and customer co-creation workshops focused on large-scale digital and AI-powered experiences. The role designs qualitative and quantitative studies, facilitates interviews and surveys, develops foundational research strategies, manages executive stakeholders, and communicates insights through persuasive storytelling. It partners across Microsoft to define customer moments of truth, shape product direction and experience design, and deliver customer-centric solutions for enterprise clients.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Embed with strategic customers to lead end-to-end technical programs, applying AI-assisted engineering to accelerate delivery. Coordinate cross-functional teams, make data-driven decisions, manage risks, and cultivate reusable solution patterns and playbooks to scale impact.

Embed with strategic customers to lead end-to-end technical programs, aligning business needs with engineering across AI, cloud, and data. Use AI-assisted engineering, engineering tooling, and cross-disciplinary teams to deliver measurable outcomes, scale reusable patterns, and manage risk in ambiguous environments.

Serve as a trusted commercial advisor to design and negotiate customer-centric licensing and contracting solutions. Lead cross-functional sales teams to drive revenue, structure complex deals, manage risk and compliance, leverage AI and analytics to identify growth opportunities, and ensure adherence to policies and legal/regulatory requirements while coaching and enabling sellers.

Lead end-to-end segmentation strategy for Microsoft Advertising, translating business priorities into coverage, capacity, and resource-allocation models. Build measurement frameworks, analytical models, and cross-functional alignment to operationalize segmentation into territory design, quota and capacity planning. Advise senior leaders and continuously refine models using data-driven insights to drive growth.