13 Oct
|
Express Analytics
|
India
13 Oct
Express Analytics
India
Job Role - Senior Performance Marketer
Express Analytics (EA) • Full-time • Remote, India • Marketing
Express Analytics is a global decision intelligence partner and AI technology company. We build
AI, analytics and B2B SaaS products that solve complex business problems. One of the products we have developed is an agentic AI adtech platform built for performance marketers.
Its specialist AI agents research audiences, develop campaign strategy, generate creative, build campaigns and recommend optimizations across advertising platforms — while keeping the marketer in control.
We are looking for an experienced, hands-on performance marketer to help make kAInet a product that marketers trust and want to use to improve campaign performance.
You will use kAInet the way our customers do: build and run real campaigns, evaluate its recommendations against your own expertise, identify where the product falls short, and translate those findings into clear direction for our product and development teams. When improvements ship, you will test again and determine whether they actually make the marketer's job better.
This is not a traditional QA role, and it is not a traditional media buying role. It sits at the intersection of performance marketing, AI and product development. Your value comes from knowing what a strong campaign should look like and using that judgment to help us gain adoption with our platform.
The performance marketer will be responsible for managing our paid digital marketing campaigns for Express Analytics.and leverage kAInet where possible in those campaigns.
The position will report to the Chief Marketing Officer (CMO), work day to day with the kAInet product and development team, and coordinate with the Director of Website Strategy on anything that touches the website or brand. You will follow the marketing team’s project management and approval processes. This is an individual contributor role.
What you will do-
- Run kAInet performance testing cycles as primary immediate focus
Become one of the company's deepest internal power users of kAInet and use it for real world campaign workflows.
Run structured test cycles: define the hypothesis, build the campaign in kAInet, launch with an agreed test budget, analyze performance, recommend changes and retest after improvements ship.
Build and maintain a weekly and quarterly testing roadmap aligned with the kAInet product release schedule.
Benchmark kAInet against your own expertise by comparing its campaign recommendations and builds with what you would create directly in Google Ads or Meta
Ads Manager.
Evaluate the quality of AI-generated campaign strategies, audiences, keywords, creative and optimization recommendations. Ask the question that matters: Would you confidently run this for a client? If not, why?
Diagnose whether performance issues originate from kAInet,
campaign inputs, tracking or the underlying advertising platform so the right team addresses the right problem.
Test new features before customer release and validate fixes afterward to ensure they solve the marketer's underlying problem rather than only the immediate symptom.
Test additional advertising platform integrations as kAInet expands into current channels.
- Turn marketer insight into product direction
Translate findings into clear, reproducible bug reports and product recommendations that developers can act on, including steps taken, expected versus actual behavior and potential impact on campaign performance or spend.
Prioritize issues based on marketer impact, campaign risk and business value, helping the product team distinguish critical improvements from lower-priority enhancements.
Review feedback from kAInet customers, identify recurring patterns and incorporate them into the testing roadmap.
Maintain a clear feedback loop from test to finding to product change to retest to validation.
Provide a weekly testing summary to the product team and a monthly leadership recap covering what was tested, what was learned, what changed and what comes next.
Challenge workflows that do not make sense from a performance marketer's perspective and advocate for how marketers actually work.
- Execute Express Analytics paid digital marketing campaigns as it expands
Plan, launch and optimize EA demand generation campaigns using kAInet wherever the platform supports the channel.
Define, track and report campaign KPIs across media efficiency, conversion, lead volume, MQLs, pipeline and ROI
Look beyond platform level metrics to understand whether campaigns are generating qualified prospects and meaningful business outcomes.
Use campaign data to identify performance issues, opportunities and recommended actions
Partner with Marketing, Sales and RevOps to evaluate lead quality, understand funnel performance and incorporate downstream results into campaign optimization
Maintain clear campaign reporting and communicate insights and recommendations to internal stakeholders.
Support accurate conversion tracking, attribution and campaign measurement across advertising platforms and analytics tools
Establish and maintain conversion tracking using GA4 and Google Tag Manager in coordination with the website and RevOps teams.
What we are looking for
Must have
4+ years of hands on performance marketing experience,
with recent responsibility for personally building and optimizing campaigns — not just overseeing agencies or teams
Demonstrated hands-on responsibility for at least US$50,000 (approximately ₹50 lakh)
in monthly paid media spend for a single advertiser, with direct responsibility for campaign strategy, build, optimization and performance across Google and/or Meta.
Strong experience with campaign and creative testing across audiences, messaging,
offers, formats and bidding strategies.
Deep hands-on expertise in Google Ads and Meta Ads Manager, with significant experience across major Google campaign types including Search, Performance Max,
Demand Gen, Display and/or YouTube.
Experience personally managing meaningful paid media budgets and being accountable for performance.
A strong record of structured experimentation: developing hypotheses, designing tests,
interpreting results and turning findings into decisions.
Strong command of GA4, Google Tag Manager, conversion tracking and attribution.
The ability to evaluate AI-generated recommendations critically rather than simply accepting the output.
Strong written communication skills. You can describe a technical or workflow problem precisely enough for a developer to act on and explain its business impact clearly to leadership.
Comfort working with an evolving early-stage product where features, priorities and workflows will change as the product develops.
Nice to have
Experience managing high-volume B2C, DTC or ecommerce performance campaigns.
B2B or SaaS performance marketing experience is a plus
Experience with LinkedIn Campaign Manager.
Experience with Reddit Ads, Pinterest Ads, Amazon Ads or other advertising platforms.
Agency experience working across multiple clients, industries or geographies.
Experience evaluating, beta-testing or helping roll out martech or adtech products.
Experience incorporating AI tools into performance marketing workflows.
You will probably enjoy this role if:-
You like being hands-on, are naturally skeptical of automated recommendations, enjoy figuring out why something worked or failed, and want your performance marketing expertise to influence how an AI advertising product is built.
This may not be the right role if you primarily want to manage a large media budget from day one, prefer mature and secure platforms, or have moved away from hands-on campaign building into primarily managing agencies or teams.
What we offer
Real ownership and access. Your findings shape what kAInet becomes and how we take it to market, with direct visibility to leadership.
Growth in AI. Build your career in agentic AI, B2B SaaS and data analytics.
Competitive compensation aligned with your experience, performance and impact.
📌 Senior Performance Marketer (India)
🏢 Express Analytics
📍 India