Platform Solutions Architect at Integral Ad Science
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Aug, 25

Salary

200400.0

Posted On

06 May, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Analytical Skills, Data Analysis, Azure, Aws, Ssps, Programming Languages, Presentation Skills, R, Web Technologies

Industry

Information Technology/IT

Description

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
We are seeking a highly skilled and experienced AdTech Solutions Architect to join our team to develop and implement tailored solutions for brands, advertising agencies, and platforms. As part of our Product team, you will play a critical role in shaping how our clients implement, scale, and derive value from our Impression Feed product.
This role sits at the intersection of product, commercial, and engineering—working closely with clients, sales team, and product development – to design and deploy innovative solutions that address complex challenges in the digital advertising space. You will work directly with commercial teams during pre-sales engagements to tailor offerings that align with customer needs and long-term goals. The ideal candidate will possess a deep understanding of the digital advertising ecosystem, with a strong emphasis on leveraging data to drive strategic outcomes.
This is a high-impact, client-facing role—ideal for someone who thrives at the intersection of data, technology, and customer success.

YOU SHOULD APPLY IF YOU HAVE MOST OF THIS EXPERIENCE:

  • 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..
Loading...