Top Tech Jobs & Startup Jobs in Boston, MA

Design and lead enterprise Salesforce architectures across multiple clouds, integrations, Data Cloud, Agentforce, AI capabilities, data migration, custom development, security, and DevOps. Partner with clients and stakeholders through workshops, discovery, solutioning, deployment, and technical reviews. Advise executive and technical audiences, support presales activities, mentor delivery teams, and ensure scalable, secure, high-performing implementations.

Lead enterprise Salesforce architecture across multiple client engagements, designing solutions with Salesforce Core, Agentforce, and Data Cloud. Advise executive stakeholders, facilitate discovery and design workshops, develop roadmaps and proofs of concept, estimate projects, guide Agile delivery teams, resolve risks, and mentor technical teams. Drive implementations from strategy through optimization while aligning technology capabilities with business objectives.

Lead the development and scaling of an AI-enabled software development lifecycle practice for regulated industries. Design cloud-agnostic AI platforms, enterprise architectures, compliance frameworks, model gateways, prompt governance, and evidence automation. Deliver rapid platform MVPs, architect solutions, develop proof-of-concepts and sprint features, and guide multiple Agile teams. The role also involves client presales, technical consulting, mentoring, offshore-team collaboration, practice development, and driving innovation across distributed engineering teams.

Lead enterprise Microsoft Fabric architecture, migrations, governance, and adoption programs. Define roadmaps, architecture standards, and delivery plans; guide agile teams and manage technical risks. Support presales through estimates, SOWs, prototypes, presentations, and executive briefings. Mentor distributed teams, develop practice enablement materials, track Microsoft’s roadmap, and build the Fabric center of excellence. The role requires deep Fabric and Azure data platform expertise, governance experience, consulting leadership, certification, and willingness to travel up to 25%.

Lead PIM and PXM strategy and solution architecture for client product activation initiatives. Design product content lifecycles, data models, governance frameworks, workflows, and syndication strategies. Facilitate discovery workshops, translate business needs into implementation plans, guide merchandising and cross-functional stakeholders, and mentor delivery teams. The role combines technical architecture, business consulting, product data expertise, and leadership across concurrent transformation projects.

Leads product strategy, vision, discovery, roadmaps, stakeholder engagement, requirements refinement, workflow modeling, backlog management, and user story development for commerce and order management solutions. Owns product outcomes across delivery streams, analyzes product metrics, manages risks and dependencies, and guides development teams toward successful client delivery. Requires consulting experience, order management expertise, executive communication, Agile/Scrum knowledge, and familiarity with AI tools and platforms.

Design and own end-to-end Databricks Lakehouse and AI/BI solutions across cloud platforms. Provide architecture, presales support, POCs, integration, estimations, mentorship, and technical leadership for multi-team deliveries, including batch and streaming data pipelines and GenAI integrations.

Lead the architecture and implementation of enterprise-scale Azure data and AI platforms, including data lakes, lakehouses, warehouses, integrations, machine learning, and generative AI solutions. Establish governance, security, MLOps, and AI frameworks; guide cloud modernization, migration, performance, and cost optimization. Translate business needs into technical architectures, present recommendations to executives, lead architecture reviews, support client pursuits, and mentor engineering teams.

Define and lead ServiceNow architecture and target-state roadmaps, ensure best-practice scalable implementations, design integrations and CMDB/CSDM strategies, provide technical leadership across delivery, support AI-enabled ServiceNow capabilities, and collaborate with stakeholders to ensure platform sustainability and governance.

Design and lead scalable Salesforce Sales Cloud solutions, scope projects, advise clients as a trusted technical lead, guide and QA consultant work, manage risks, and leverage AI tools (Einstein/Agentforce) to improve sales processes across pipeline, forecasting, and opportunity management.