Growth Associate, Google Implementation Programme (India)

Zohorecruit; India; On-site; INR 800,000 - 1,400,000; Full time

Benefits offered by this job

Coworking access

Health coverage for you and family

Job summary

Datahash is a privacy-centric first-party data platform. Datahash is looking for a high-energy professional to own the India patch of a Google integration funnel, handling first meetings, follow-ups, approvals, and implementation kick-offs with a desk agent.

You will drive 30–35 meetings per month, advance deals to verification, and coordinate with Google regional teams. Excellent English and AI-enabled CRM discipline are essential for success in this volume role.

Qualifications

• 1–3 years in a client-facing role in software or digital marketing.
• Ability to explain technical concepts simply: tags, gateways, conversions, consent.
• Organised to manage a high volume of conversations efficiently.
• Excellent English; Hindi and another Indian language helpful.
• Daily use of AI tools and clean CRM habits.

Responsibilities

• Convert nominations by running 30–35 first meetings a month with Google nominations and secure go-ahead.
• Drive to verified: move deals through implementation to verification, delivering 12–15 verifications monthly.
• Maintain cadence with follow-ups, reschedules and approvals within set deadlines.
• Collaborate with Google's regional teams and escalate issues when needed.
• Identify opportunities to convert implementations into services or Signals subscriptions.

Skills

Client-facing experience

English proficiency

AI tools usage

CRM discipline

Job description

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 one of a handful of global Google integration partners. Google's teams nominate advertisers to us to implement Google Tag Gateway, Enhanced Conversions and related first-party data products, and our job is to convert each nomination into a verified, live implementation. You own the India patch of that funnel: first meetings, follow-ups, approvals, implementation kick-offs and verification, working 120 to 140 live deals at a time with a desk agent that never lets a deal age silently. This is conversion at volume with technical substance, not cold outreach.

What you will do

• Convert nominations. Run 30 to 35 first meetings a month from Google nominations, explain the implementation and its value, and secure the client's go-ahead and access.
• Drive to verified. Carry each deal from approval through implementation with our delivery team to Google's verification, 12 to 15 verified completions a month.
• Hold the cadence. Follow-ups, reschedules and approvals on the deadline doctrine (approval inside 30 days of a call, implementation inside four weeks), with the desk agent drafting and you deciding.
• Work with Google. Keep Google's regional teams informed on progress and quality; escalate stuck nominations the right way.
• Attach. Spot where an implementation should become a services engagement or a Signals subscription and hand the lead to the right seat.

What success looks like

• 12 to 15 verified completions a month after ramp.
• 120 to 140 active deals with no deal past its deadline without a reason recorded.
• Strong feedback from Google's India teams on responsiveness and quality.

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 a client-facing role: inside sales, customer success, onboarding or implementation coordination, in software or digital marketing.
• Comfort explaining technical concepts simply: tags, gateways, conversions, consent, server-side.
• Organised to the point of obsession: you can run 130 conversations without losing one.
• Excellent English; Hindi and one more Indian language help with India advertisers.
• Daily use of AI tools and clean CRM habits.

Nice to have

• Experience with Google Ads, Google Tag Manager or GA4 from the practitioner side.
• Prior work in a Google or Meta partner programme.

Probably not a fit if

• You want to build a small number of deep enterprise relationships; this is a volume desk.
• You are uncomfortable with technical detail.
• 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.