Media Research Analyst

About Epsilo

We're building the operating system for performance media, unifying fragmented workflows across 50+ marketplaces globally

·       Trusted by the world's largest consumer brands including Unilever, P&G, L'Oréal, and Colgate

·       Backed by Sequoia, Vulcan Capital (founded by Microsoft co-founder Paul Allen), and K3 Ventures

·       Recognized by Gartner in their Market Guide for Digital Shelf Analytics for 3 consecutive years (2024, 2025, 2026)

·       Building from APAC to serve the fastest-growing performance media markets in the world

About the role

Marketplaces ship ad features constantly. TikTok Shop launches a placement type Shopee does not have. Lazada changes how a bidding strategy behaves. A validation rule appears in an API with no announcement. Every one of those changes quietly widens or closes the gap between what an operator can do on the marketplace and what they can do on Epsilo.

Today Product finds out about those changes late, and usually from a support ticket. There is no running view of which gaps are critical, no side by side comparison against competitors, and no sizing of which networks are growing in which markets. Prioritization arguments get settled by opinion because nobody has the evidence in front of them.

This role is the research engine that closes that loop. You will track what the marketplaces and the competitors are doing, turn it into structured findings that Product can act on, and use AI agents to draft the camp0 mappings that let the engineering team build against a new network faster. You will sit with Product and work closely with Platform, Managed Service, and Support.

This is a role for researchers who enjoy undocumented territory. Marketplace APIs contradict their own documentation, competitor features are described in marketing language, and nobody will hand you a clean dataset. If you like being the person who finds out what is actually true and writes it down so a team can act, this is that job.

The problem space

There are three blind spots, and they compound.

Which gaps matter. New ad features appear on existing networks with no signal about which ones are critical. Without a classification, every gap looks equally urgent, so the roadmap gets argued rather than decided.

Where we stand against competitors. Criteo, CitrusAd, Skai, Pacvue, and Perpetua all ship against the same marketplaces. Without a running comparison, Epsilo cannot say where it already wins, where it must catch up, and where a gap is not worth closing at all.

Which networks are growing where. Retail media is not one market. A network that dominates in one country is irrelevant in the next. Without sizing, network coverage decisions are guesses about both existing customer wallet share and white space.

Underneath all three sits the mapping problem: every new network has to be translated into camp0, Epsilo's unified campaign model, before anything can be built against it. That translation is slow, manual, and currently the bottleneck.

What you'll do

·       Research media networks, including TikTok Shop, Shopee, Lazada, and emerging marketplaces, to spot new or changed ad features and document them clearly enough for someone else to build from

·       Build side by side comparisons of Epsilo against competitors such as Criteo, CitrusAd, Skai, Pacvue, and Perpetua, structuring the evidence rather than the conclusion

·       Use AI agents to research marketplace API documentation and draft camp0 mappings for handoff to the builder team, covering ad attributes, metrics, actions, validation rules, and metadata

·       Ship a weekly agent-assisted report on what changed across marketplaces and competitors, from an agreed template

·       Flag candidate feature gaps and, under Product's framework, help tag them as killer, fundamental, or vitamin

·       React to gap tickets as they arrive: catch up on the logic quickly and hand off a clear brief to the builder team

·       Design and run test cases for new marketplace ad tools before they launch to all users

·       Record and edit onboarding videos for the Platform team's self-serve surface, and partner with Managed Service and Support to collect the experience gaps between operating on Epsilo and operating directly on the marketplace

Key responsibilities

·       Own the accuracy of the camp0 mappings you draft. Your headline metric is the share of agent-drafted mapping that still needs manual verification, measured across ad attributes, metrics, actions, validation, and metadata

·       Own the weekly research cadence. You are the person the team asks what changed on the marketplaces and the competitors this week, and the answer should already be written down

·       Collaborate across four teams whose work depends on your output. Product consumes your gap research for roadmap decisions, the builder team consumes your mappings, Platform consumes your onboarding content, and Managed Service and Support feed you the experience gaps they see in the field

·       Participate when a marketplace ships a change. Assess what it affects, document it, and hand off a brief the builder team can work from without rediscovering the same facts

·       Know where your mandate ends. Product keeps roughly 80 percent of camp0 design. You supply the evidence and the draft, not the decision. Prioritization and product decisions remain owned by Product

What we're looking for

·       1 to 3 years in an analytical, research, or operations role. You have taken messy, undocumented, third party information and turned it into findings someone else could act on without redoing your work

·       Strong structuring instincts. You know the difference between a page of notes and a finding, and you produce the second one

·       Product sense over query depth. This role rewards knowing which question matters more than knowing how to write the most elegant SQL

·       Fluent with AI tools such as Claude and ChatGPT, and able to build research workflows with them rather than just prompting them one question at a time

·       You close the loop. Every piece of research you deliver ends with a recommendation on what to do now and what to do later. Research that stops at a summary is not finished

·       Your accuracy improves with repetition. You track where your own logic was wrong last time and you are measurably better on the next network

·       Good written English and clear written communication. You will read technical and API documentation, write reports other teams act on, and work autonomously in a high-trust, low-process environment

·       Nice to have: background at an ad tech platform such as Criteo, CitrusAd, Skai, Pacvue, or Perpetua, comfort reading API documentation, and basic SQL

Our stack

·       Product surface: Epsilo One, and camp0, our unified campaign model

·       Marketplace surfaces: TikTok Shop, Shopee, Lazada, and emerging retail media networks across APAC

·       AI-powered research: Claude, ChatGPT, and agent workflows that draft camp0 mappings from marketplace API documentation

·       AI collaboration: Notion, Linear, ChatGPT

Why join Epsilo

·       Your research decides the roadmap. What gets built next, and what gets deliberately skipped, comes from the evidence you put in front of Product. This is not a reporting seat

·       Agents are the job, not a perk. Your first 90 day target is measured in how much of the camp0 mapping an agent can draft correctly without you. You are building the tooling, not waiting for it

·       You see every marketplace, not one. Most people in retail media learn one network deeply. Here you will learn how fifty of them differ, which is the rarer and more portable skill

·       You work against real competitors. Criteo, CitrusAd, Skai, Pacvue, and Perpetua are not abstractions. Your comparisons are how Epsilo decides where to fight

·       AI-native working environment. Modern tooling, no permission needed to automate your own work

·       Early team, massive leverage. The research system you build is the one the company will use for years, because nobody has built it yet

How we hire

1.     Application review. We review your application, resume, and problem-solving note

2.     Screening call. Culture fit, role alignment, and answer your questions

3.     Research assessment. A short real task: take one recent marketplace ad change and turn it into a finding Product could act on

4.     Team interview. Deep dive with Product on how you structure findings and where you would push back

5.     Founder conversation. Vision, values, and your questions about the company

6.     Decision. We move fast

Show us how you operate

Three short answers. Be specific and use numbers.

7.     How you 10x your output with AI: one workflow you turned into a reusable agent, skill, or Claude Code command. What was manual before, what the AI does now, and how much faster you are. (Link to that AI artifact, optional)

8.     A hard number you moved: a performance or reliability problem you owned. The metric, where it started, what you changed, where it landed, and how you kept it correct.

9.     A solution you designed end to end, from the user's real pain (not the tech): the insight, your approach, and what you deliberately chose not to build.

You may fit if you (want to)

·       Challenge the status quo and bring a yes if mindset.

·       Believe strongly that you can build product and service to make an impact at global scale.

·       Eventually participate in shaping our product and company strategy.

·       Debate, and be listened to.