Job Description

About Datahash Datahash is a privacy-centric first-party data platform. Our core product, Datahash Signals, gives marketers low-code, no-code integrations between web, app, e-commerce, CRM, marketing automation and data warehouses on one side and the major ad channels on the other: Meta, Google, TikTok, Snap, Amazon and more. We are one of a handful of badged integration partners across these channels and work with them directly on first-party data adoption programmes, where advertisers are moving to server-side integrations, conversions APIs and privacy-safe measurement. We are bootstrapped, profitable, and run across Dubai, Bangalore, Mumbai and London with clients in EMEA, India, Africa, APAC and the US. The role This is a conversation-and-escalation seat, deliberately scoped small. Tracking, classification, reporting, scheduling and follow-up drafting for the Google Implementation Programme are carried by agents; you carry what an agent cannot: partner conversations with Google's programme teams, escalations when a nomination is stuck, purchase order chases with partner finance, and the judgement calls on the programme's weekly progress report before it goes to Google. If you like being the person a partner calls when something needs a human, this is the seat. What you will do Be the partner's person. Own the working relationship with Google's programme operations teams across regions: their questions, our escalations, the weekly progress report and the monthly cohort cadence. Clear the money. Chase partner purchase orders and payout approvals to a 21-day cycle; clear the approved-unpaid backlog with finance and keep it clear. Escalate. Pick up nominations the desk cannot move (unresponsive advertisers, verification disputes, tag gaps) and resolve them with the partner. Review before it ships. Read the agent-produced funnel and quality reports for sense before they go to Google; own the corrections. What success looks like Purchase order cycle at or below 21 days and the unpaid backlog cleared and held. Weekly partner report delivered every week with no corrections from Google. Escalations closed inside the partner's expectations. How we hire We move fast and we are transparent about how we decide. An AI assistant helps us screen applications against the must-haves in this description and helps schedule conversations; every decision about a person is made by a person. Step 1: a short structured screen within two working days of applying. Step 2: a 50-minute conversation with the hiring manager. Step 3: a small case exercise close to the real work, which you present to two or three of us. Step 4: fit and terms with our VP Delivery or Head of Sales and Partnerships, and for senior roles the founder. We aim to give you a decision within five working days of the final conversation. We evaluate evidence rather than claims, the quality of your questions, how you handle ambiguity, and how naturally you already use AI in your own work. Requirements What we need from you One to three years in programme coordination, partner operations, customer success or account management with an external stakeholder you had to manage. Calm, precise written and spoken English; you are comfortable on a call with a large partner's operations team. Comfort with finance basics: purchase orders, invoices, payout terms. Daily use of AI tools; you supervise agent output rather than produce trackers by hand. Nice to have Experience in a Google, Meta or similar partner programme. Experience with Zoho CRM and Zoho Desk. Probably not a fit if You expect the job to be building and maintaining trackers; the agents do that. You avoid difficult conversations with partners or finance teams. Benefits A startup environment backed by a stable, bootstrapped, profitable business. Competitive compensation and one of the most employee-friendly ESOP programmes in the industry. Work from anywhere, on your hours; coworking access when you want a change from home. Health cover for you and your family. Real international exposure: clients and partners across the Gulf, Europe, Africa, India, APAC and the US. A yearly offsite that we take seriously, and a culture that does not. Datahash is an equal-opportunity employer. We hire on evidence and fit for the work and do not ask for salary history. Compensation is discussed at the fit-and-terms stage.