Verix
https://verix.ioAbout
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.
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Python
NodeJS (Node.js)
JavaAbout OptimizeGEO
OptimizeGEO.ai is our flagship product that helps brands stay visible and discoverable in AI-powered answers. Unlike traditional SEO that optimizes for keywords and rankings, OptimizeGEO operationalizes GEO principles ensuring brands are mentioned, cited, and trusted by generative systems (ChatGPT, Gemini, Perplexity, Claude, etc.) and answer engines (featured snippets, voice search, and AI answer boxes).
Founded by industry veterans Kirthiga Reddy (ex-Meta, MD Facebook India) and Saurabh Doshi (ex-Meta, ex-Viacom), Company is backed by Micron Ventures, Better Capital, FalconX, and leading angels including Randi Zuckerberg, Vani Kola and Harsh Jain.
Role Overview
We are hiring a Senior Backend Engineer to build the data and services layer that powers OptimizeGEO’s analytics, scoring, and reporting. This role partners closely with our GEO/AEO domain experts and data teams to translate framework gap analysis, share-of-voice, entity/knowledge-graph coverage, trust signals into scalable backend systems and APIs.
You will design secure, reliable, and observable services that ingest heterogeneous web and third-party data, compute metrics, and surface actionable insights to customers via dashboards and reports.
Key Responsibilities
- Own backend services for data ingestion, processing, and aggregation across crawlers, public APIs, search consoles, analytics tools, and third-party datasets.
- Operationalize GEO/AEO metrics (visibility scores, coverage maps, entity health, citation/trust signals, competitor benchmarks) as versioned, testable algorithms.
- Data Scaping using various tools and working on volume estimates for accurate consumer insights for brands
- Design & implement APIs for internal use (data science, frontend) and external consumption (partner/export endpoints), with clear SLAs and quotas.
- Data pipelines & orchestration: batch and incremental jobs, queueing, retries/backoff, idempotency, and cost-aware scaling.
- Storage & modeling: choose fit-for-purpose datastores (OLTP/OLAP), schema design, indexing/partitioning, lineage, and retention.
- Observability & reliability: logging, tracing, metrics, alerting; SLOs for freshness and accuracy; incident response playbooks.
- Security & compliance: authN/authZ, secrets management, encryption, PII governance, vendor integrations.
- Collaborate cross-functionally with domain experts to convert research into productized features and executive-grade reports.
Required Qualification (Must Have)
- Familiarity with technical SEO artifacts: schema.org/structured data, E-E-A-T, entity/knowledge-graph concepts, and crawl budgets.
- Exposure to AEO/GEO and how LLMs weigh sources, citations, and trust; awareness of hallucination risks and mitigation.
- Experience integrating SEO/analytics tools (Google Search Console, Ahrefs, SEMrush, Similarweb, Screaming Frog) and interpreting their data models.
- Background in digital PR/reputation signals and local/international SEO considerations.
- Comfort working with analysts to co-define KPIs and build executive-level reporting.
Expected Qualifications
- 4+ years of experience building backend systems in production (startups or high-growth product teams preferred).
- Proficiency in one or more of: Python, Node.js/TypeScript, Go, or Java.
- Experience with cloud platforms (AWS/GCP/Azure) and containerized deployment (Docker, Kubernetes).
- Hands-on with data pipelines (Airflow/Prefect, Kafka/PubSub, Spark/Flink or equivalent) and REST/GraphQL API design.
- Strong grounding in systems design, scalability, reliability, and cost/performance trade-offs.
Tooling & Stack (Illustrative)
- Runtime: Python/TypeScript/Go
- Data: Postgres/BigQuery + object storage (S3/GCS)
- Pipelines: Airflow/Prefect, Kafka/PubSub
- Infra: AWS/GCP, Docker, Kubernetes, Terraform
- Observability: OpenTelemetry, Prometheus/Grafana, ELK/Cloud Logging
- Collab: GitHub, Linear/Jira, Notion, Looker/Metabase
Working Model
- Hybrid-remote within India with limited periodic in-person collaboration
- Startup velocity with pragmatic processes; bias to shipping, measurement, and iteration.
Equal Opportunity
OptimizeGEO is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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