Manager - Growth Experimentation & Marketing Technology

Emeritus; Mumbai; Sur place; INR 4 000 000 - 7 000 000; Plein temps

Résumé du poste

Emeritus is seeking a Marketing Innovation professional to own paid media strategy across Google, Meta, and LinkedIn, leading experiments and AI tooling to scale marketing initiatives globally. You will manage large media spends, build automation, and optimize signals from GTM to conversions across geographies.

Role requires deep platform expertise, SQL/Python automation, and hands-on API work, with a preference for edtech/fintech domain and multi-geography experience.

Qualifications

• 3 to 5 years in performance marketing, growth engineering or martech, with substantial hands-on time in Google, Meta and LinkedIn.
• Personal management of at least USD 3-5M annual media spend across two or more platforms.
• Advanced SQL, Python for automation, and experience with at least one advertising API.
• Server-side tracking and hands-on LLM build experience.
• Statistical fluency: power, sample sizing, incrementality, and how marketing tests commonly fail.
• Preferred: long lead-to-revenue funnel (edtech, fintech, insurance, high-value D2C) and multi-geography experience.

Responsabilités

• Paid media strategy and channel innovation (25%): Design and pilot new account architectures for Google, Meta and LinkedIn; evaluate platform products; maintain QA standards.
• Experimentation and incrementality (30%): Own the experiment backlog, design tests, manage scale decisions, control for audience overlap and budgeting.
• AI tooling and automation (30%): Build tooling to reduce manual work, automate campaigns, integrate LLM frameworks with data for evaluation.
• Martech and measurement (15%): Own signal architecture, tracking, conversions, data imports, and feedback into bidding models.

Connaissances

Paid media management

SQL

Python

Advertising APIs

LLM tooling

Analytics & statistics

Budget management

Outils

Google Ads

Meta Ads

LinkedIn Ads

SQL

Python

Ad Platform APIs

Description du poste

Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 80 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.

Emeritus' short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 300,000 individuals across 80+ countries.

Founded in 2015, Emeritus, part of Eruditus Group, has more than 1,800 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. The company is backed by prominent investors including Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.

Role Summary:

The Marketing Innovation group owns every new initiative marketing undertakes across the global portfolio - new channels, campaign structures, measurement signals and AI workflows. This role proves whether an initiative delivers incremental value, then builds the tooling to run it at scale.

Deep, hands-on expertise across Google Ads, Meta and LinkedIn is a primary, non-negotiable requirement, since most experiments run inside these platforms.

Responsibilities:

Paid media strategy and channel innovation (25%) Act as the structural authority on Google, Meta and LinkedIn for the portfolio. Design and pilot new account architectures, bidding approaches, audience strategies and creative testing frameworks before rollout. Evaluate new platform products and betas. Lead root-cause analysis, decomposing cost per paid application into CPL, lead-to-application and application-to-paid rates. Maintain platform playbooks and QA standards.

Experimentation and incrementality (30%) Own the experiment backlog: intake, prioritisation, sequencing and the scale-or-stop decision. Design tests using platform-native tools, geo holdouts and matched-market designs. Pre-register hypotheses, size for minimum detectable effect, and read against pre-set thresholds. Maintain incrementality factors by channel and geography. Control for audience overlap, budget cannibalisation and learning-phase resets. Run an alpha-beta-production scaling framework and maintain the experiment ledger.

AI tooling and automation (30%) Build tooling that removes manual work: diagnostic agents, creative pipelines, spend and delivery anomaly detection, automated campaign QA and alerting. Automate directly against the platform APIs. Integrate LLM APIs and agent frameworks with ad platform and CRM data, with evaluation harnesses to verify accuracy.

Martech and measurement (15%) Own signal architecture: server-side tracking and GTM, Meta CAPI, Google enhanced conversions and offline imports, LinkedIn CAPI, consent. Feed application, paid application and revenue signals back into bidding, and improve match quality and conversion coverage.

Requirements:

• 3 to 5 years in performance marketing, growth engineering or martech, with substantial hands-on time in Google, Meta and LinkedIn.
• Personal management of at least USD 3-5M annual media spend across two or more of these platforms.Agency-overseen budgets without direct account ownership do not qualify.
• Platform depth, tested in interview: Meta (Advantage+ vs manual, CBO, bid strategies, learning phase, EMQ, creative fatigue); Google (Search, PMax, Demand Gen, smart bidding, negative architecture, conversion action hierarchy, GCLID imports); LinkedIn (targeting limits, Matched Audiences, format selection, CPM management).
• Advanced SQL, Python for automation, and experience with at least one advertising API. Server-side tracking and hands-on LLM build experience.
• Statistical fluency: power, sample sizing, incrementality, and how marketing tests commonly fail.
• Preferred: a long lead-to-revenue funnel (edtech, fintech, insurance, high-value D2C) and multi-geography experience.