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Measurement Lead - OptimizeGEO
Measurement Lead - OptimizeGEO
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Measurement Lead - OptimizeGEO

Eman Khan's profile picture
Posted by Eman Khan
6 - 10 yrs
₹15L - ₹34L / yr (ESOP available)
Remote only
Skills
Large Language Models (LLM)
SEO analytics
Ads analytics
Search
SQL
skill iconPython
Amplitude
content optimization
Mixpanel
Looker
BigQuery
Apache Airflow
Snowflake

What is OptimizeGEO?

OptimizeGEO is Verix’s flagship platform that helps brands stay visible, cited, and trusted in AI-powered answers. Unlike traditional SEO that optimizes for keywords and rankings, OptimizeGEO operationalizes AEO/GEO principles so brands are discoverable across generative systems (ChatGPT, Gemini, Claude, Perplexity) and answer engines (featured snippets, voice assistants, AI answer boxes).


Role Overview

We are building the next generation of measurement systems for Generative Engine Optimization (AEO/GEO)—defining how “quality,” “trust,” and “impact” are quantified in an AI-first discovery landscape. As Measurement Lead, you will architect the measurement strategy, frameworks, and data models that inform product development, customer outcomes, and go-to-market effectiveness. You’ll combine experimentation, analytics, and generative AI evaluation to create a durable, decision-grade measurement stack.


Key Responsibilities

  • Define Measurement Frameworks: Operationalize KPIs for AEO performance - model visibility/coverage, ranking/recall, trust & attribution signals, and downstream engagement/ROI.
  • Own the Measurement Stack: Partner with Data Engineering to build systems for A/B and multivariate testing, offline/online model evaluation, and longitudinal tracking of AEO metrics.
  • Model & Content Evaluation: Establish benchmarks and scoring systems for generative output quality, factuality, and attribution, leveraging both human-in-the-loop and automated evaluation.
  • Cross-Functional Alignment: Drive shared definitions and measurement standards across Product, Data Science, Customer Success, and GTM.
  • Insight to Action: Translate raw data into clear recommendations that improve product performance and customer ROI; create exec-ready narratives that tie measurement to business outcomes.
  • Thought Leadership: Be the internal SME on measurement in the generative era; evangelize best practices and influence roadmaps through storytelling with data.


Qualifications (Minimum)

  • 6–10 years in analytics, data science, experimentation, or measurement - ideally in search, ads, LLM evaluation, or content optimization.
  • Proven experience designing metric frameworks and experimentation systems for complex or multi-sided products.
  • Deep understanding of AI/LLM evaluation and/or SEO/ads analytics; familiarity with offline vs. online metrics and counterfactuals.
  • Advanced proficiency in SQL and Python/R; hands-on with tools such as Amplitude, Mixpanel, Looker/Looker Studio, dbt, BigQuery/Snowflake, and experiment platforms.
  • Demonstrated ability to connect analytical rigor to strategic decisions; strong communication and stakeholder influence skills.


Preferred Experience

  • Background in search quality, ads measurement, or model eval (e.g., BLEU, ROUGE, BERTScore, factuality/trustworthiness).
  • Experience with human evaluation ops, prompt and data set design, and rubric development for LLMs.
  • Prior experience in startup or new product incubation environments.


What Success Looks Like (Outcomes)

  • Launch the industry’s first AEO Quality Score and reference measurement model.
  • Deliver visibility frameworks that tie AI discoverability → content optimization → commercial ROI.
  • Establish a robust experimentation and evaluation pipeline that accelerates product velocity and elevates customer outcomes.
  • Be recognized as the go-to expert on generative measurement internally and externally.


Ways of Working / Tooling (indicative)

SQL, Python/R, Experiment platforms, Amplitude/Mixpanel, Looker/Looker Studio, BigQuery/Snowflake, dbt, Airflow, prompt-evaluation tooling, annotation platforms, dashboards for exec reporting.


Equal Opportunity

Virtualness is an equal opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees.

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About Verix

Founded :
2022
Type :
Product
Size :
20-100
Stage :
Raised funding

About

Virtualness is redefining the future of verification through generative AI and blockchain. In an era of deepfakes and digital uncertainties, Virtualness brings clarity by enabling organizations to authenticate what’s real. Founded in 2022 by industry pioneers Kirthiga Reddy (ex-Meta, ex-SoftBank) and Saurabh Doshi (ex-Meta, ex-Viacom), Virtualness provides enterprises with scalable, customized solutions for authentication, verification, and engagement across credentials, awards, events, product and content.


✌️ About Verix

At the heart of Virtualness is Verix, our self-serve platform designed to provide definitive answers to the critical question, “Is this real?” . Whether you’re verifying skills, certifications, tickets, products, or content, Verix ensures, “Yes, this is authentic.”


Powered by blockchain and GenAI, Verix empowers organizations to seamlessly manage authentication and verification workflows, supported by comprehensive analytics and notifications. Key features include dynamic badges, customisable design templates , global digital shareability, engagement & personalization and integration with enterprise workflows.


Our consumer-grade enterprise platform has been adopted by prestigious awards like the MMA Smarties, The Asian Academy Creative Awards and Women in Power by Raya Advisory, events like TiECon and TiE Youth, and music festivals like Soundsfest 2024 with Ticketapasaja. It has also been utilized for a variety of use cases including ticketing by Persija eSports—one of the largest eSports teams in Asia, for recognizing expert contributions by MMA Global India and for product validation by Indri’s Game of Thrones “House of the Dragon” exclusive edition. Now available with self-serve, it also powers certifications for AI training, HR training, board certification, and much more for enterprises of all sizes.


💰 Funding

Virtualness is backed by leading investors, including Blockchange Ventures, Polygon Ventures, F7 Ventures, Micron Ventures, Better Ventures, FalconX, Shorooq Partners, Impact Venture Capital, and Oceans Ventures, along with prominent angels such as Carolyn Everson, Randi Zuckerberg, Harsh Jain, and Stacy Brown-Philpot. We have raised $8M in seed-funding.


Join our team! If you live and breathe Generative AI, web3, and the creator economy, we would be delighted to build together!

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Virtualness is redefining the future of verification through generative AI and blockchain. In an era of deepfakes and digital uncertainties, Virtualness brings clarity by enabling organizations to authenticate what’s real.


Founded in 2022 by industry pioneers Kirthiga Reddy (ex-Meta, ex-SoftBank) and Saurabh Doshi (ex-Meta, ex-Viacom), Virtualness provides enterprises with scalable, customized solutions for authentication, verification, and engagement across credentials, awards, events, product and content.

Product showcase

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Virtualness
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Virtualness is the first end-to-end web3 platform offering mobile-first generative AI creation, NFT minting, and marketplace to buy/sell digital goods, all in one place. Virtualness’ creation and user tools are easy to use and understand, creating a more equitable future for web2 and web3 creators and users – encouraging rapid adoption and usage of AI creation, on-chain assets and marketplace tools. In addition to having access to these easy-to-use tools via web2 or web3 login, Virtualness’s wallet-level personalization capabilities, crypto plus local currency fiat wallet enabled transactions including in-app purchase via app/play store, smart contract ID digital good authentication, verified creator status, one click integration of rewards/utilities into each NFT and trading capabilities, puts the platform into a league of its own & is a category defining product.
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