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Platform Solutions Architect
| Company | Integral Ad Science |
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| Location | New York, NY, USA |
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| Salary | $116900 – $200400 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
- 5+ years of experience in AdTech, with a focus on solutions architecture, data analysis, or technical consulting
- Proven ability to engage directly with advertisers, agencies, and platform partners—ideally in a client-facing capacity
- Strong understanding of the digital advertising ecosystem, including programmatic advertising, ad servers, DSPs, SSPs, and data management platforms (DMPs).
- Strong technical acumen, with experience in API integrations, data pipelines, and web technologies (e.g., JavaScript, HTML, CSS).
- Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences and influence decision makers
- Strong problem-solving and analytical skills, with a keen attention to detail while working in a fast-paced, evolving environment
- Experience with cloud platforms like AWS, Azure, or GCP.
Responsibilities
- Lead technical implementation and integration of IAS solutions across customer environments—ensuring reliability and performance.
- Drive strategic conversations with agencies and platforms to understand business needs and design custom solutions, particularly around impression-level data delivery.
- Engage in pre-sales conversations, bringing creative ideas and technical know-how to shape compelling solutions and unlock new revenue opportunities.
- Serve as a technical consultant to our Sales and Product teams—ensuring alignment between client goals and IAS’s platform capabilities.
- Partner with clients to identify data-driven opportunities to improve targeting accuracy, campaign performance, and platform interoperability
- Deliver technical demos and presentations, confidently communicating IAS’s value proposition to both technical and non-technical audiences.
- Gather insights on how clients use IAS data, helping influence product development and roadmap prioritization.
- Troubleshoot and resolve technical issues throughout the client lifecycle, delivering white-glove support when needed.
- Own documentation, enablement, and training materials that drive clarity and adoption across internal and external stakeholders.
Preferred Qualifications
- Experience with ad verification and brand safety solutions.
- Knowledge of machine learning and artificial intelligence applications in AdTech.
- Experience with big data platforms like Hadoop or Spark.
