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Adverity

Automates data management and BI workflows

Forward Deployed Strategist

Implementation & Technical Account ManagementUpdated on Nov 11
Full-timeNew York, NY, USA$130k - $160k /yrHybrid

About the Job

Requirements

  • Previous experience in Solutions Consulting, Forward Deployed Engineering, Technical Account Management, Professional Services, or Technical Implementation within a SaaS company or media agency.
  • A strong foundation in digital marketing, including ad tech, attribution models, agency workflows, or performance marketing data.
  • Comfort working with SaaS platforms, REST APIs, dataset mapping, and data automation tools.
  • A demonstrated track record of using AI tools to build workflows, summarize insights, or code automations.
  • A bachelor's degree in an analytical, technical, or business discipline.

Responsibilities

  • Act as an embedded domain expert during onboarding of the Atlas AI product, partnering cross-functionally with sales, product, engineering, and account management to accelerate customer adoption and value.
  • Learn each customer's architecture and use case and serve as a trusted partner in adopting Atlas across the full platform.
  • Serve as a strategic, day-to-day customer partner by guiding customers on product functionality and working closely with product and engineering teams.
  • Scope and deliver client-specific requirements, provide tailored demonstrations, and run hands-on training that enables customers to query their marketing data.
  • Use a consultative approach to maximize platform value and drive adoption, retention, and growth.
  • Lead technical discovery, design custom onboarding architectures, build AI automations, and convert three-month product-trial discoveries into long-term commercial adoption.

About the Company

Adverity

Automates data management and BI workflows

Adverity provides an automated data management and business intelligence platform for agencies and brands. It connects data from over 600 pre-built connectors, cleans and validates it, and applies transformations to create a single, reliable source of performance data for reporting. It differentiates itself with a large library of connectors, automation that streamlines data operations, and a fast return on investment. Its goal is to help organizations make data-driven decisions quickly by offering a trusted, integrated data foundation for analytics.

Company size
201-500
Company stage
Series D
Total funding
$166.9M
Headquarters
Vienna, Austria
Founded
2015

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