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 technical trust in the room. Most of our leads arrive through Google and Meta partner programmes; your job is to convert qualified leads into live implementations by showing exactly how Datahash Signals fits the client's data architecture and what it does for their measurement. You own the journey from lead to demo to solution to conversion for mid-market opportunities, and you support the account executives on enterprise pursuits where the buyer is technical. An agent researches every prospect's website, tag stack and likely event volume before your call; you bring the judgement, the demo and the conversation. This is not a media buying role; it is data infrastructure, signal quality and measurement.
What you will do
- Pitch the solution. Run product demos and walkthroughs of Datahash Signals on real integration use cases; articulate the value of first-party data activation, conversions APIs and server-side tracking.
- Discover. Understand a client's data architecture across CRM, web, app and ad platforms; find the gaps in signal quality, attribution and data flow.
- Map the integration. Translate client systems into clear source-to-destination flows and explain how Datahash cuts the engineering effort.
- Position measurement. Connect data-quality improvements to attribution accuracy and campaign outcomes, aligned with what Google, Meta and the others actually reward.
- Close mid-market. Drive opportunities from solution to closure: scope into commercials, timeline and approach; handle basic negotiation; align stakeholders.
What success looks like
- High conversion of partner-sourced leads into active implementations.
- Independent end-to-end demos for common use cases within three months; independent conversion with minimal support thereafter.
- Positive partner feedback from Google and Meta ecosystems.
- Shorter sales cycles on mid-market opportunities.
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
- Four to five years in martech, adtech, analytics or similar client-facing roles.
- Strong understanding of first-party data, measurement frameworks and attribution.
- Familiarity with conversions APIs, enhanced conversions or server-side tracking; working knowledge of Google Ads and Meta Ads from a data and signals perspective.
- Comfort with integrations: APIs, CRMs, e-commerce platforms, event tracking; you think in data flows, identifiers and signal quality.
- Strong communication that turns technical concepts into business value; basic comfort with pricing and proposals.
- Strong comfort with AI tools for content, communication and workflow; disciplined CRM hygiene.
Nice to have
- Hands-on GTM, GA4 or MMP experience.
- Experience in a partner-led sales motion.
Probably not a fit if
- Your experience is limited to media buying or campaign execution.
- You prefer roles without client-facing demos or solution ownership.
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.
Skills Required
- 2-5 years of experience in Mar tech, Adtech, Analytics, or related client-facing roles
- Strong understanding of first-party data, measurement frameworks, and attribution concepts
- Familiarity with Conversion APIs, Enhanced Conversions, or server-side tracking approaches
- Working knowledge of Google Ads, Meta Ads, or similar platforms from a data and signals perspective
- Comfort with data integrations, including APIs, CRM systems, ecommerce platforms, and event tracking
- Strong communication skills to simplify technical concepts into business value
- Basic comfort with commercial discussions, including pricing, proposals, and stakeholder alignment
- Discipline in maintaining CRM hygiene, including pipeline tracking and activity logging
What We Do
Datahash provides privacy-focused solutions for first-party data enablement, enabling marketers to manage data securely and compliantly in a cookie-less, privacy-first digital ecosystem. They specialize in server-side tracking and data analytics services.
