Yield Ops Engineer (AI-First) — Growth & Monetization

About Genuin

Genuin is a social video experience infrastructure. Our white-label platform embeds directly into a brand's own site or app, so businesses can grow brand-owned communities and drive

engagement, loyalty and revenue with personalized, shoppable vertical video across every

channel they own and operate.

Genuin has eight products, all run by a governed AI layer we call Supervised Intelligence:

1. Onsite grows a customer's owned-and-operated (O&O) properties, placing and ranking video for every viewer.
2. Offsite extends O&O inventory to partner pages and media plans.
3. Monetize earns more margin on every impression across the O&O.
4. Network shares a customer's video across partner sites and apps, and runs theirs in return.
5. Controls sets permissions, decides which content runs, and determines how buyers see inventory.
6. Studio turns podcasts, shows and catalogs into video in every size.
7. Supervised Intelligence runs every product on the customer's own rules and picks the right model for each task.
8. Marketplace lets customers add AI capabilities, tools and models, or publish their own.

Octo, our Supervised Intelligence interface, operates each Business Account. It drafts every

step of a customer's launch from their website and brand context. Octo proposes, and the

customer approves. We're building a world where AI operates the business and humans

supervise it.

The role

Every customer on Genuin has two goals: grow their audience and earn more from it. As our

Yield Ops Engineer, you'll own the systems, data and dashboards that make both happen. You'll bring DevOps skills to keep ad and data pipelines reliable, analytics skills to find where yield is being left on the table, and the ability to turn all of it into client-facing dashboards that customers trust and act on.

This is an AI-first role. You'll build monitoring, anomaly detection and optimization as agents and automated workflows, so that Octo can flag a drop in fill or recommend a price floor change before a customer ever notices. Humans approve; the system does the work.

What you'll do

1. Build client-facing dashboards. Design and ship dashboards that show each customer their growth and monetization performance: engagement, watch time, views per user, fill rate, eCPM/CPM, RPM, revenue by placement, partner and demand source, and lift over time.
2. Own the analytics and data pipelines. Build and maintain the pipelines behind those dashboards, from SDK callbacks and ad server logs to scheduled exports to BigQuery, Mixpanel and Amazon S3, with clean data models and reliable refreshes.
3. Optimize yield. Analyze performance across GAM/AdX, Prebid, SSPs and DSPs, then tune price floors, demand partner mix, timeouts, ad density, placements and pacing to raise revenue without hurting engagement.
4. Drive growth outcomes. Work out which content, feeds, placements and Network partners grow audiences and watch time, and turn those findings into recommendations for customers and for our product team.
5. Run it like DevOps. Own infrastructure-as-code, CI/CD, monitoring and alerting for yield and data systems on cloud platforms such as AWS or GCP, so that pipelines and dashboards stay healthy around the clock.
6. Automate with AI agents. Build agents and workflows that monitor yield, detect anomalies (drops in fill, CPM, latency or engagement), explain what changed, and propose fixes through Octo for a human to approve.
7. Experiment continuously. Design and run A/B tests on floors, demand setups, placements and feed layouts, and measure their impact on both revenue and engagement.
8. Be the yield expert for customers. Join business reviews with Account Managers, explain performance in plain language, and give each customer a clear plan to grow and earn more.
9. Troubleshoot fast. Diagnose discrepancies between Genuin, ad servers and partners, along with tagging issues, latency and data gaps, and drive them to resolution with Engineering.
10. Feed the product. Turn what you learn into requirements for Monetize, Controls and Supervised Intelligence, and help build yield intelligence directly into the platform.

What you must bring

1. 5+ years of experience in yield operations, ad operations engineering, monetization analytics or data engineering at a media, publisher or ad tech company.
2. A bachelor's degree in Computer Science, IT, Electronics, Statistics or a related engineering field.
3. DevOps experience: Linux, Docker, CI/CD (GitHub Actions or similar), infrastructure-as-code (Terraform or similar), cloud platforms (AWS or GCP), and monitoring and alerting tools such as Grafana, Prometheus or Datadog.
4. Dashboard building: hands-on experience shipping client-facing dashboards with tools such as Looker, Looker Studio, Tableau, Power BI, Metabase or Superset, or custom-built in React.
5. Strong analytics skills: advanced SQL, Python for data analysis, data modeling, and experiment design and measurement.
6. Deep yield knowledge: GAM/AdX, Prebid and header bidding, SSPs and DSPs, OpenRTB, price floors, VAST video, fill, eCPM and RPM, and discrepancy analysis.
7. AI-first habits: you use AI tools such as Claude Code, Cursor or LLM APIs every day to write code, analyze data and automate work, and you have built at least one automated monitoring or analysis workflow.
8. Clear written and spoken English, and the ability to explain performance and recommendations to customers and leadership.
9. Willingness to work on-site in Ahmedabad, with some overlap with US Eastern time for customer reviews and incident response.

Nice to have

1. Experience with video, CTV/OTT, social video or retail and commerce media monetization.
2. Experience with streaming or real-time data tools such as Kafka, Kinesis or Spark, or with dbt and Airflow.
3. Experience building AI agents, using MCP, or with ML-based floor optimization and forecasting.
4. Experience working directly with US-based publishers or media networks.

Why Genuin

1. Directly move revenue and growth for major US media brands.
2. Build AI-operated yield systems from the ground up.
3. Real ownership: your dashboards, your pipelines, your metrics.
4. A founding-team role in our Ahmedabad office, with competitive compensation and benefits

How to apply

Send your resume to [jobs@begenuin.com] with the subject line "AI-First Product Manager –

Ahmedabad". Include:

1. A short note on a time you improved yield or revenue: what you changed, how you measured it, and the result.
2. A link or screenshots of a dashboard or automation you built (with confidential data removed).