Atari

Analytics Manager, Commercialization

✓ Source checked 1h agoOther
Location
USA Only
Job Type
Not provided by employer
Experience
Not provided by employer
Apply Now→

RemoteOrNothing Role Intelligence

A structured reading of this employer listing. RemoteOrNothing only surfaces facts or exact signals present in the stored source; missing details stay missing.

Company
Atari
Role category
Other
RemoteOrNothing classification
Employment type
Not specified
RemoteOrNothing classification
Seniority
Not available
RemoteOrNothing classification
Remote eligibility
USA Only
Source location: Atari - US (Remote)
Compensation
Not captured in our structured salary fields; check the employer description/source for any location-specific range.
Only structured salary fields are shown here
Added to RemoteOrNothing
Aug 24, 2026
Last updated
Oct 15, 2026

Technical stack explicitly mentioned

Python

Experience requirements found in the listing

Not explicitly found in the listing text

Education / credential terms mentioned

Not explicitly found in the listing text

Remote-work details from the source

  • Employer location text: Atari - US (Remote)
Direct application source: job-boards.greenhouse.io
How this was built: deterministic extraction from this job's stored fields and employer-provided listing text. No AI rewriting and no guessed salary, skills, experience, location or sponsorship terms.

RemoteOrNothing Market Context

First-party snapshot calculated from RemoteOrNothing's current published job dataset — not copied from the employer listing.

Comparable active roles
239
USA Only Other roles across 52 companies; this job is excluded
Salary disclosure
4 of 239 (2%)
Comparable roles with a complete structured annual salary range
Company footprint
5 active roles
Current published RemoteOrNothing roles at Atari

Methodology: this role is excluded from comparison counts. We use the same category + remote eligibility when at least 5 other roles exist, otherwise category-only, then sitewide. Salary medians appear only with at least 5 complete ranges in the same currency. No missing salary is estimated.

Job Description

Analytics Manager, Commercialization

Atari, Inc.

Remote

About Us

Atari has been a bright spot in the struggling games industry: quietly but quickly growing year-over-year. The Commercial team has played a critical part in making that possible. We are looking for someone to lead analysis on a large, complex, quickly growing dataset and help us make better commercial decisions every day.

  • This is a deliberately unusual analytics job. Over the past year we’ve built an internal AI system called the “Commercial Brain” that scopes, runs, and self-checks commercial analyses. It is very powerful but also often makes mistakes in ways that are easy to miss and expensive to ship. Operating the Commercial Brain, catching its mistakes, and improving it is the central function of this role.
  • This is a high-autonomy role for someone who is energized by ambiguous problems, rigorous by instinct, and excited about using AI to do more with less. Atari, and especially the Commercial team, runs much closer to a startup than to a big company. You’ll get real ownership, fast decisions, and thin process; if you need mature structure around you to do your best work, this role will frustrate you. In this role, you’ll spend most of your time deep in analysis; not building data pipelines, dashboards, or production systems. Your output is judgment, insight, and commercial recommendations that directly shape revenue.
  • You’ll sit at the intersection of AI, data analysis, commercial strategy, and financial modeling. You’ll work closely with our Business Operations Manager and report directly to our Director of Commercial.

What you’ll do

Operate the Commercial Brain

  • Scope analyses with the Commercial Brain, interrogate its reasoning, and find its errors and unstated assumptions before they reach a decision.
  • Act as the second reviewer of record on analyses that today have only one. Verification is a primary deliverable of this role.
  • Own the empirical loop: every significant decision records an expected outcome, and you measure actuals against it. For example, outcome backfills, hypothesis tests, and calling out falsifications as wins.
  • Own data trust: reconcile our sales data against platform ground truth, adjudicate defects with our data providers, and refuse to let analyses run on numbers that haven’t cleared.
  • Build automations that remove manual analytical work and free capacity for higher-order problems.

Commercial analysis & decision support

  • Own recurring per-game analysis like pricing, discounting, regional performance, and lifecycle dynamics across hundreds of games. For some types of analysis, you’ll inherit a documented method that you will challenge and extend. For other types, you’ll create the methods then turn them into repeatable AI skills.
  • Take ambiguous commercial questions and independently define the approach, structure, and output. Then turn your approach into AI context and repeatable AI skills and scripts.

Financial modelling and business cases

  • Build business cases for commercial decisions including game forecasting, platform deals, bundle strategies, and portfolio opportunities (ports, streaming, cloud gaming, physical partnerships, etc.)
  • Develop metrics to measure the holistic performance of our commercialization system at every level.

Collaboration

  • Partner closely with our Business Operations Manager. The line between you will not be tidy: there is more process to define than one person can carry, so both of you will need to be comfortable stepping across it.
  • Keep a written record of the judgment calls behind your work, reviewed weekly, so the reasoning is inspectable rather than in someone’s head.
  • Present findings and recommendations to the Director of Commercial and, where relevant, to executive leadership.

What We're Looking For

  • 3–5 years in analytics, commercial strategy, or a related field.
  • A genuine passion for games
  • High autonomy. You receive a problem, you figure out the approach, and you come back with a proposal. This role is remote and your manager will give you direction and context, not in-the-weeds supervision.
  • Startup pace and ownership. You’ve worked where priorities move weekly, process is thin, and you own outcomes end to end.
  • Intellectual honesty. You would rather tell someone their hypothesis is wrong than confirm it with a flawed analysis. The most valuable thing you can do here is to notice that a confident, well-formatted answer is wrong, including one you produced, and address it before anyone else does.
  • You verify before you ship. You treat “confident and well-formatted” as a reason for more scrutiny, not less, and you keep the reasoning written down.
  • Familiarity with AI tools and real opinions about where they fail. You do not need to be an engineer, but you should be able to build and iterate upon AI-assisted workflows.
  • Strong statistical foundations. You know where analyses break down, you hunt for confounded variables and aggregation errors before anyone asks, and you can explain your methodology under scrutiny.
  • Basic financial modeling, including building a business case from first principles without guidance.
  • Advanced Excel, and demonstrated ability to turn large, messy datasets into clean, credible output.
  • Ability to read and catch errors in Python and SQL.
  • Clear writing. You write clearly enough that we, or an AI agent, can tell exactly what you meant.

Bonus points

  • Games industry experience

Our values

We use these to hire, evaluate performance, and make decisions.

  • Long-term thinking — Grounded in an iconic history spanning over 50 years, we prioritize long-term value creation over short-term gains. We’re building something that lasts.
  • Convergence of passion and excellence — Extraordinary outcomes emerge when passion meets disciplined execution. Operating at that intersection is what sets us apart.
  • Growth mindset — We’re inherently teachable, relentlessly curious, and we thrive on challenges. Successes and failures are both opportunities to learn.
  • Drive — We’re self-starters who finish what we start. We find satisfaction in the hard work required to achieve extraordinary results.

Target Salary: $90k - $125k