Top Solutions Engineer Jobs in Boston, MA

Senior Solutions Engineers drive technical discussions, work on solution designs, and advise customers on best practices to implement Cloudflare products.

The Senior Solutions Engineer will provide technical expertise in pre-sales situations, conduct presentations, design customized solutions, and lead technical discussions to enhance the ServiceNow platform's value for customers.

The Senior Solutions Engineer will engage with enterprise customers, provide pre-sales support, deliver technical presentations, and lead proof-of-concept activities, while building relationships and driving customer success with Cloudflare solutions.

As a Senior Solutions Engineer, you will partner with the sales team to support enterprise customers, deliver presentations, and run proof-of-concept trials while leveraging technical expertise in networking and security.

Lead technical design and implementation of front-office risk systems and small-scale applications. Build data-rich, AI-enabled workflows, analytics, visualizations, and decision-ready reports while collaborating with risk analysts and investment teams. Serve as a hands-on architect and individual contributor to deliver robust, scalable tools for multi-asset risk analysis.

The Principal AI Engineer will design AI-powered workflows, partner with stakeholders, and build production-level systems in a cross-functional environment.

The Enterprise Solutions Engineer will drive enterprise sales, conduct technical demos, and support customers in using Postman's API platform effectively. They will partner with various teams, engage with clients at all levels, and create proof of concept integrations.

Build, deploy, and maintain AI-powered agents, APIs, and applications for People operations on Snowflake. Turn messy business requirements into production systems, integrate with Workday/Notion/case tools, ensure data governance and security, design multi-model LLM reliability controls, and operate full lifecycle including CI/CD, monitoring, and incident fixes while partnering with non-technical stakeholders.

Design and build AI-powered workflows and systems to transform operations across the company by partnering with stakeholders and shipping production-quality software from architecture to deployment.

Partner with Account Executives to design and demo Webflow solutions, conduct discovery and technical validation, lead workshops and trials, build business cases, influence product direction, and support cross-functional initiatives. Travel up to 25% and complete an in-person onboarding in San Francisco.

Implement Redpoint Customer Engagement Hub and RPDM ETL, data hygiene, and identity resolution. Build data ingestion/automation, troubleshoot client implementations, collaborate with development and project teams, and support product feature identification.

Own technical pre-sales end-to-end: run demos on real data, scope and build integrations, lead multi-week POCs, write SOWs, hand off to deployment, and drive product feedback across Sales, Product, and Engineering.

Lead technical pre-sales for enterprise clients: present AI-driven SEO strategy to executives, run deep discovery and POCs, map technical solutions to business outcomes, integrate Semrush into enterprise stacks, enable competitive displacement, and relay product feedback to Product teams.

Serve as the technical bridge across sales, product, and customer success to own onboarding and implementation for enterprise clients. Design integrations and proofs of concept, run technical discovery, create technical resources, support advanced integrations, and ensure clients launch successfully and realize measurable results.

Drive new logo revenue by qualifying prospects, running technical demos and proofs-of-concept, and creating pipeline alongside Sales. Research customer use cases, translate technical value, execute outreach campaigns, and maintain accurate CRM (HubSpot) data to support deal progression and enable sales strategy.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

The Senior Solutions Engineer will lead the Voice of Customer strategies, provide technical enablement, and support sales execution by developing product demonstrations and engaging in strategic sales cycles. Responsibilities include collaborating with various departments and guiding the Sales Engineering team on VOC solutions.

The Senior Solutions Engineer will sell technology solutions to executives, manage RFP responses, and enhance customer satisfaction through strategic deal execution and solution-selling.

Responsible for selling SaaS solutions, managing RFPs, shortening sales cycles, creating presentations, and maintaining long-term relationships with clients.

The Partner Solutions Engineer will build technical credibility with partners, drive integration conversations, manage partner enablement, and project manage cross-functional workstreams. They will work closely with business development and product teams to support strategic partnerships, deliver presentations, and analyze partner landscapes for effective technical recommendations.

The Solution Engineer role involves collaborating on sales cycles, delivering product presentations, overseeing technical aspects of sales, and advising customers on observability solutions.

Design, build, and deploy enterprise AI solutions using LLMs, RAG, and AI agents. Develop AI-powered business apps with Microsoft Power Platform, create scalable data/AI solutions on Databricks using SQL and Python, integrate systems via REST APIs, and collaborate with stakeholders to prototype and operationalize intelligent automation.

The Senior Systems Engineer will manage enterprise platforms, engineer solutions, collaborate on codebase enhancements, and incorporate AI for operational efficiency.

Lead the SLED New England systems engineering team, partner with regional sales to drive revenue, build territory and resource plans, develop SE talent, allocate pre-sales resources, track team metrics, lead cross-functional projects, and improve customer experience and satisfaction.

Serve as a pre-sales technical advisor: run demos, CARs, and POCs; design scalable, secure CDN and edge architectures; guide customers on WAF, API security, bot management, zero trust, DevOps integrations and AI feature adoption to drive product adoption and account growth.