Hybrid Solutions Architect – Enterprise

at Extreme Reach

• Job title: Solutions Architect – Enterprise
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $175,000 - $185,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AEM, AWS, Cloud, Google Cloud Platform, GraphQL, Tableau
• Location requirements: Hybrid, New York City, United States

About the role

• Solutions Architect at XR engaging in pre-sales processes and guiding enterprise clients through technical solutions. Collaborating with Sales to align technology with business challenges in advertising.

Responsibilities

• Act as a strategic technical partner to the Sales and Business Development teams.
• Engage deeply in the pre-sales process, guiding enterprise clients through product capabilities, solution design, and integration strategies.
• Collaborate with Sales to understand prospective enterprise client's business goals, technical environments, and operational workflows.
• Lead discovery sessions to uncover enterprise client requirements, assess solution fit, and identify integration considerations.
• Design and articulate tailored solutions using the XR tech stack.
• Deliver compelling product demos, technical presentations, and proof-of-concepts.
• Advise on best practices for implementation, integration, and platform adoption.
• Serve as a technical liaison between enterprise clients and internal teams during the sales process.
• Create solution architecture documentation, integration diagrams, and technical scoping materials.
• Provide high-quality responses to technical RFPs and security/compliance questionnaires.
• Gather enterprise client feedback to inform roadmap planning.
• Stay informed on industry trends, competitive technologies, and emerging tools in ad tech, martech, and broadcast systems.
• Own demo certification program; coach AEs/SAEs on delivering Tier-1 light demos.
• Maintain ≥80% technical validation win rate and <2-week POC cycle-time.
• Document product gaps in Product board/Jira within 24 hours of field discovery.
• Tailor solutioning approaches based on Segment A vs. Segment B buying patterns.
• Travel up to 30% for on-site workshops and production pilots.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience).
• 5–7 years of experience in a pre-sales Solutions Engineering, Sales Engineering, or Technical Consultant role.
• Prior experience supporting complex software sales cycles in the ad tech, martech, content management, or broadcast space.
• Deep understanding of the overall digital advertising ecosystem, particularly CTV.
• Deep expertise on Digital Ad Serving tech stack such as GCM, Innovid, Flashtalking, VAST tags, DSPs (TTD, Amazon, DV360, etc.), SSPs.
• Hands-on experience implementing enterprise DAMs (AEM, Bynder, Orangelogic, etc.), taxonomy and metadata for campaigns, talent/rights, territories, expirations; builds rights-aware search and pre-flight checks and media delivery pipelines.
• Experience enabling ad-tech, mar-tech suite across brands and agencies.
• Deep business process and operations knowledge across full-service & global agencies.
• Ability to create technical documentation, diagrams, and integration plans that are enterprise client-facing and sales-ready.
• Hands-on experience with REST APIs and tools such as Postman or GraphQL enterprise clients.
• Familiarity with SSO (SAML, OpenID, OAuth).
• Working knowledge of cloud-based media workflows (e.g., AWS MediaConvert, Elemental, etc).
• Knowledge of content delivery networks (CDNs), cloud infrastructure (AWS, GCP), and video streaming formats (HLS, MPEG-DASH).
• Strong communication and storytelling skills with the ability to convey technical value to business and executive audiences.
• Comfortable leading enterprise client discussions and delivering persuasive demos in a high-stakes sales environment.
• Highly collaborative and capable of balancing technical detail with business strategy.
• Proactive and self-motivated, with a desire to continuously learn and improve.
• Skilled in consultative discovery, with the ability to uncover nuanced customer needs, pain points, and success criteria through structured questioning and active listening.
• Strong in value mapping, connecting customer objectives to XR's capabilities in a way that clearly articulates business impact and ROI.
• Proficient in storytelling with data, using insights, benchmarks, and visualizations to create compelling narratives that influence decision-makers.
• Emphasize project management discipline during POCs and pre-sales evaluations.
• Experience working with or selling to media companies, broadcasters, or agencies.
• Knowledge of BI tools and analytics platforms (e.g., Tableau, Looker, Google Analytics).
• Familiarity with the sales process and experience partnering with Account Executives or Solutions Architects in SaaS environments.
• Understanding of security, privacy, and compliance concepts (e.g., data governance, GDPR, SOC 2) relevant to enterprise client onboarding.