Sales Engineer

Company Description

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms.  We are working with cutting edge technology including LLMs and generative AI. We build products that leverage AI agents to handle complex marketing analytics workflows for our clients and partners.

 Role Description

We are looking for an experienced Sales Engineer (or Solution Architect) in the Boston or New York City area (remote / hybrid a potential option). The role will be responsible for supporting our Sales team as a technical resource and solution architect in prospect and customer conversations.

We value self-motivated individuals who enjoy working on small teams in a dynamic and fast-changing environment. As an early employee to a fast-growing organization, you will have the ability to help shape our go-to-market strategy and establish yourself as an expert in the AI and advertising analytics space.

The right candidate for this position will have a demonstrated history of success and quota over-achievement supporting sales to enterprise organizations (preferably selling software applications in the marketing/advertising analytics space, but software sales not necessary for consideration for role). Ideally, you have supported Sales and/or Account Managers in Analytics, Advertising Technology, or Media applications and/or are familiar with the advertising analytics market. The ability to work independently in a rapidly growing environment is important.

Responsibilities:

• Support the Enterprise Sales Cycle: Partner with Account Executives throughout the full enterprise sales process—from technical discovery and solution scoping to demo execution, objection handling, and post-sale handoff.
• Drive Technical Proof and Buy-In: Own the technical components of RFPs, proof-of-concepts (POCs), and integrations to validate product fit and accelerate deal closure.
• Act as a Technical Advisor: Maintain deep knowledge of the marketing analytics and AI ecosystems, including key challenges, integration touchpoints, and competitive dynamics.
• Collaborate Across Teams: Work closely with Product, Data Science, Engineering, and Customer Success to deliver a cohesive and strategic experience for prospects and customers.
• Inform Product Roadmap: Surface recurring customer needs and technical gaps to shape product development priorities.
• Maintain Account Strategy and Continuity: Contribute to the success and growth of strategic accounts, particularly during onboarding and expansion, ensuring solution integrity and business alignment.
• Refine and Scale Playbooks: Help evolve the Sales Engineering / Solutions Architecture function by contributing to internal processes, technical collateral, and GTM strategy.

Qualifications:

• 4+ years in a Sales Engineering, Solutions Architecture, or Technical Pre-sales role—ideally within the analytics, advertising technology, or enterprise SaaS space.
• Strong working knowledge of the ad tech and media ecosystem, including attribution, measurement, and advertising workflows.
• Demonstrated success supporting complex, multi-stakeholder enterprise sales cycles, with a “land-and-expand” mindset.
• Ability to translate technical products into clear business value tailored to different audiences (marketers, analysts, CTOs, etc.).
• Deep understanding of analytics and AI, especially as they relate to advertiser and publisher needs around profitability, ROI, and reporting.
• Excellent problem-solving skills and a natural curiosity for how systems interconnect and scale.
• Organized and methodical approach to documentation, communication, and collaboration within a sales process.
• Comfortable working in a goal-oriented, customer-facing environment that values initiative and ownership.