Growth Marketing Operator

Zohorecruit; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Datahash, a privacy-centric first-party data platform, seeks a strategic Marketing Head to own demand generation and brand voice. You will direct agent teams, shape partner collaborations with Meta, Google, TikTok and others, and drive monthly MQL targets from multiple engines.

You will design campaigns, oversee content standards, and work with Growth to optimize channel partner spend. The role combines hands-on content leadership with high-level strategy across global markets.

Qualifications

• Five to eight years in B2B marketing for SaaS, adtech or martech with demand and content ownership.
• Experience with platform partner marketing teams (Google, Meta or similar) and known spend channels.
• Strong editorial eye and plain writing style; able to distinguish AI cadence from human text.
• Daily use of AI tools; demonstrated ability to produce content at volume.
• Comfort with analytics: GA4, CRM reporting and attribution.

Responsibilities

• Own the number: manage MQLs from 25 to 100 per month across eight engines, with segment, journey and content calendar.
• Own the voice: set Datahash standards; approve all external assets as the final human read.
• Own the partner marketing: run co-marketing programmes and MDF with channel partners with Growth Manager (Channel Partnerships).
• Direct the agents: brief, correct, measure acceptance rate and cost per accepted output.
• Launch: lead SYNAPSE launch communications and design-partner programme to the existing base.

Skills

B2B marketing

SaaS marketing

Adtech & Martech

Content ownership

AI content tooling

Tools

GA4

CRM reporting

Attribution modelling

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

Marketing at Datahash runs agent-first: a marketing head agent plans, content and page agents produce, an inbound agent qualifies, and named humans approve. This seat is for the person who directs that machine: an operator who owns the voice, the partner-marketing relationships with Meta, Google, Snap and TikTok, and the demand numbers, and who directs the agents rather than replacing them. You will not be asked to build the machine; it exists. You will be asked to make it produce leads and to make Datahash sound like one company.

What you will do

• Own the number. Marketing-qualified leads from 25 to 100 a month across eight engines, with the segment, journey and content calendar the agents run reviewed by you weekly.
• Own the voice. Every external asset sounds like Datahash: you set the standard, the agents produce to it, and you are the final human read on anything public.
• Own the partner marketing. Co-marketing programmes and MDF with the channel partners, from claim to campaign, in partnership with the Growth Manager (Channel Partnerships).
• Direct the agents. Brief them, correct them, measure them: acceptance rate, cost per accepted output and the override log are your management tools.
• Launch. Run the SYNAPSE launch communications and the design-partner programme to the existing base.

What success looks like

• MQL ramp on plan with source and quality tracked.
• Case studies shipping monthly with consent, in the three registers we use.
• Partner co-marketing live with at least one channel per quarter.

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

• Five to eight years in B2B marketing for SaaS, adtech or martech with demand and content ownership.
• You have worked with platform partner marketing teams (Google, Meta or similar) and know how co-marketing funds actually get spent.
• A strong editorial eye and a plain writing style; you can tell AI cadence from a human sentence and fix it.
• Daily, expert use of AI tools; you have already directed AI-produced content at volume.
• Comfort with analytics: GA4, CRM reporting, attribution.

Nice to have

• Experience launching a product to an installed base.
• Experience in a company below 100 people where you were the whole marketing function.

Probably not a fit if

• You want a team of humans to manage; the team is mostly agents.
• You would rather write everything yourself than direct production.
• 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.