Good Growth Entrepreneur-in-Residence: Strategy Recommendation Engine
Location: Remote (Asia-Pacific or EU/US time zones workable)
Type: Seed Grant (potential for full-time based on funding)
Project: Strategy Recommendation Engine (Movement Intelligence)
The Opportunity
Good Growth is seeking an Entrepreneur-in-Residence (EIR) to lead the development of our Strategy Recommendation Engine, an AI-powered tool designed to solve the "context gap" in animal advocacy.
Currently, advocates in the Global South often replicate strategies from the West (e.g., corporate cage-free campaigns) without knowing if they will work in their specific political or cultural environment. We have conducted a major study on "Contextual Advocacy" to identify which factors actually drive success in different markets.
We are now building a system that inputs these contextual factors (e.g., "authoritarian government," "low meat consumption," "collectivist culture") and outputs the strategies most likely to succeed. We believe this tool has the highest potential to transform the movement by moving advocacy from intuition to evidence-based precision.
Role Overview
As the EIR for the Strategy Recommendation Engine, you will act as the Product Owner and Data Strategist, and initially work with our technical partner to build out the MVP. You will lead the key part of the puzzle which is the data, by collecting unbiased data on successful vs. failed campaigns to train the system. You will define the data strategy, validate the tool with campaigners, and eventually take full ownership of the product's technical roadmap (whether by continuing to work with Good Growth resources or hiring developers).
Timeline & Key Responsibilities
Month 1: Discovery & Data Strategy
- Framework Deep Dive: Review the upcoming "Contextual Evidence" report and academic paper to understand the theoretical basis of the recommendation engine.
- Data Collection Strategy: Design a methodology for collecting unbiased campaign data. How do we get organizations to honestly share data on failed campaigns so the AI can learn what doesn't work?
- User Specs: Interview campaign directors to define the input parameters. What context do they actually know? What recommendations would be actionable for them?
Months 2–3: Prototyping (Managing the Build)
- Prototype Management (based on EIR onboarding timeline): Act as the Product Manager for our technical partner, who will build the AI-assisted prototype. You will provide the requirements, the logic (based on the framework), and the initial dataset.
- Validation: Verify if the tool can accurately predict the outcome of past campaigns based on their context.
- Alpha Testing: Put the testable version of the tool into the hands of advocates. Does it give useful advice, does it just state the obvious, etc?
Months 4–6: Roadmap & Ownership
- The Data Pipeline: Establish a sustainable pipeline for feeding new case studies into the engine. This might involve partnerships with incubators or major grantmakers.
- Scaled buildout: Work with Good Growth to plan the next stages of the prototype, such as the tech stack, development resources, and roadmap.
- Scale: Explore turning this into a "Contextual Onboarding Kit" or training module for new organizations expanding into Asia.
Who You Are
- The Product Strategist: You can look at a theoretical framework and see a digital product. You know how to translate "academic findings" into "user features."
- The Campaign Nerd: You understand why a campaign works in the UK but fails in Vietnam. You care about the nuances of theory of change and impact measurement.
- The Data Pragmatist: You understand that AI is only as good as the data it is fed. You are willing to do the hard work of hunting down case studies and cleaning data to ensure the engine isn't biased.
- The Future Founder: You are looking for a project to own. While you have technical support now, you are ready to take the reins and build the team or skills necessary to scale this into a standalone service or organization.
Why This Matters
- Innovation: You are building what we believe could be one of the strongest movement-changing tools in our pipeline.
- Efficiency: By helping advocates avoid strategies that are doomed to fail in their specific context, you will save the movement millions of dollars and years of wasted effort.
- Global Impact: This tool will specifically empower advocates in under-documentated regions, giving them evidence-based confidence to better reflect, tweak, and re-strategize on other campaign models that don't fit their context.