Jobs at Datahash

Own enterprise software and data-platform sales across the UAE and Saudi Arabia, managing discovery through contract signature for complex, multi-stakeholder deals. Expand strategic Gulf accounts through quarterly business reviews, lead design-partner conversations for an AI product, maintain disciplined CRM records, and develop relationships with Google and Meta partners. The role requires Arabic and English fluency, technical digital-marketing knowledge, enterprise selling experience, and regular Gulf travel.

Own relationships with major advertising-channel partners and convert those partnerships into advertiser referrals, joint go-to-market initiatives, and revenue. Manage partner contacts, cadences, pipeline targets, CRM accuracy, co-marketing programs, MDF activity, reporting, and implementation readiness. Collaborate with Sales, Delivery, and Marketing while representing the company in partner enablement activities and maintaining measurable program outcomes.

Coordinate the Google Implementation Programme by managing partner relationships, handling escalations, chasing purchase orders and payout approvals, and reviewing weekly progress and quality reports before submission. The role requires resolving stalled advertiser nominations, coordinating with finance, maintaining partner reporting accuracy, and supporting monthly cohort cadence. Success is measured by timely purchase order cycles, cleared payment backlogs, correction-free weekly reports, and prompt escalation resolution.

Build and operate Datahash’s revenue systems, including CRM instrumentation, dashboards, renewal and dunning automation, quota-capacity models, data-quality controls, and AI agents for growth and account management. The role combines revenue operations with hands-on development using CRM workflows, code, APIs, LLM tooling, agent evaluations, and production automation.

Convert Google-nominated advertisers into verified implementations of first-party data products. Run initial meetings, explain technical concepts, secure approvals and access, coordinate implementation, maintain follow-up cadences, and achieve monthly verification targets across 120–140 active deals. Communicate with Google regional teams, escalate stalled nominations, and identify opportunities for services engagements or subscriptions. The role requires strong organization, client-facing communication, technical fluency, excellent English, CRM discipline, and daily use of AI tools.

Drive enterprise sales growth for Datahash in the US by targeting accounts using competing data infrastructure and martech platforms. Build qualified pipeline, displace incumbent tools, close SYNAPSE design partners, develop customer references, and establish a repeatable US sales motion. The role requires technical, multi-stakeholder selling, strong CRM discipline, fluent AI-tool usage, and independent pipeline generation in a new market.

Own enterprise sales across a named list of Saudi organizations, managing six concurrent pursuits from first meeting through signature. Build relationships with Google, Meta, and TikTok partner teams, support localization around data residency and procurement, and represent Datahash at industry events. Success includes 150K in bookings within two quarters and securing a Saudi reference client. The role requires Arabic and English fluency, Saudi enterprise sales experience, CRM discipline, AI tool usage, and regular presence in Riyadh.

Handles inbound and outbound sales development for a first-party data platform. Responsibilities include reviewing and sending personalized sequences, holding qualification conversations, booking 20–25 qualified meetings monthly, responding to website leads within 30 minutes, sourcing quarterly pipeline, maintaining CRM records, and documenting objections. The role requires strong written and spoken English, B2B software or martech experience, AI-tool fluency, CRM discipline, and adherence to data-protection practices.

Lead enterprise MarTech and analytics implementations, including web and server-side tracking, Conversion APIs, first-party data integrations, audits, troubleshooting, and monitoring. Design technical architectures, manage client delivery, investigate incidents, support presales, improve QA and documentation, and mentor technical team members. Collaborate with product and engineering teams to address recurring integration needs and deliver reliable, privacy-conscious measurement solutions.

The Senior QA Engineer will design test strategies, perform manual and automation testing, and ensure application quality through collaboration and automated testing frameworks.

The job involves designing, developing, and maintaining Python web applications using Django, AWS services, and microservices architecture while collaborating with cross-functional teams and applying software design best practices.

The Solution Consultant converts leads into active implementations by demonstrating Datahash Signals and facilitating integrations, focusing on data infrastructure and measurement frameworks.