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.
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