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
You are the first human touch on inbound and outbound pipeline. Our agents research accounts, draft sequences from first-party and partner data, and qualify inbound website leads; you review, personalise and send every message (nothing external goes out without a person), hold the first conversation, qualify, and book meetings for the account executives. You also work the website inbound queue with our demand operations, where the target is a first touch within 30 minutes.
What you will do
- Send and converse. Review and send about 150 agent-drafted, personalised sequences a month, hold the replies, and qualify.
- Book. 20 to 25 qualified meetings a month for the AEs and the Solution Consultant, with a written handover on each.
- Inbound. Own the response-time target on website leads: qualify, route, first touch inside 30 minutes during working hours.
- Source pipeline. 400K of sourced pipeline a quarter, tracked in CRM by source and sequence.
- Feed the machine. Log every reply and objection so the agents and the coaching bank learn from your week.
What success looks like
- Meetings and sourced pipeline on target each quarter.
- Response-time target on inbound consistently met.
- Handover quality rated well by the AEs you feed.
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
- One to three years in SDR, inside sales or a client-facing role in B2B software, martech or adtech.
- Excellent written and spoken English; you write emails people answer.
- Curiosity about digital marketing data and the willingness to learn conversions APIs, tagging and first-party data quickly.
- Comfort working with AI tools as a daily collaborator: you edit and improve drafts rather than start from blank.
- CRM discipline and respect for data-protection rules: first-party and partner data only, no bought lists.
Nice to have
- Experience with Zoho CRM or similar and with sequencing tools.
- A second language relevant to our markets (Arabic, French, German, Portuguese).
Probably not a fit if
- You want to dial from a purchased database; we do not do that.
- You see the AI drafts as the finished product rather than your starting point.
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.
