Enterprise Account Executive, United States

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 Datahash is entering the US with a specific thesis: mid-market and enterprise brands running customer data platforms and reverse-ETL tools pay too much for what they use, and Datahash Signals is a drop-in replacement for the data-activation half of that stack at a fraction of the cost. You will carry that wedge into a named list of accounts, working with our Head of Sales who is relocating to the US, with a US anchor client as your reference, and with agents producing the target list, account intelligence and outreach drafts behind you. You will also carry SYNAPSE, our AI-driven product, into US design partners as it launches. What you will do Work the wedge. Pursue a named list of US accounts running Hightouch, Segment, Tealium or similar, from first conversation to displacement, on a technical, multi-stakeholder sale. Build pipeline. 300K of qualified pipeline by month three and 700K by month six, sourced from the wedge, partner referrals and the reference account. Land SYNAPSE. Two SYNAPSE closes in the first year with US design partners. Prove the case. Turn the US anchor account into a published case study and a referenceable customer. Report clean. CRM current, every conversation logged, weekly read against pace. What success looks like Pipeline milestones met at month three and month six, then bookings on plan. Two SYNAPSE closes and a live US case study in year one. A repeatable displacement pitch documented for the next US hire. How we hire We move fast and we are transparent about how we decide. 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 Eight to ten years selling data infrastructure, martech, CDP, analytics or adtech to US mid-market and enterprise brands, with named wins. You have displaced an incumbent tool before and can explain how you built the business case. Real understanding of the modern data stack: CDPs, reverse ETL, warehouses, conversions APIs, identity and consent. Comfort selling for a company that is new to the US market: you build credibility yourself, with proof and references, not with brand. Disciplined CRM habits and daily, fluent use of AI tools. Based in the US with the right to work; able to travel to clients and to our Dubai and India teams occasionally. Nice to have Existing relationships with marketing-operations and data leaders at retail, DTC, travel or subscription brands. Experience selling with or into Google, Meta or Amazon Ads ecosystems. Probably not a fit if You need a large marketing and SDR engine to feed you; the first US seat builds its own pipeline with agent support. Your background is agency or services without a product sale. 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. #J-18808-Ljbffr