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Datacurve · 3 months ago

Founding Growth

San Francisco

Full-time

Onsite

Mid, Senior Level

Datacurve is a company focused on building a gamified data collection platform called Shipd, which engages contributors through quests and challenges. They are seeking a Founding Growth hire to scale their community of contributors, enhance engagement, and create systems that drive growth and retention.

Artificial Intelligence (AI)Information TechnologyInternetSoftware Engineering

Responsibilities

Scale the contributor base: Recruit specialized talent (e.g., cybersecurity, ML, domain experts) through creative, non-traditional channels

Convert signups into active contributors: Build onboarding funnels, training systems, and engagement loops for complex, hours-long tasks

Build retention systems: Keep top contributors engaged through competitions, leaderboards, recognition, and community dynamics

Design community infrastructure: Promote contributors to trainers/reviewers, run challenges, and make the ecosystem self-reinforcing

Engineer incentives: Go beyond payments—design viral referral mechanics, gamification, and status-driven rewards

Be data-driven: Build contributor lifecycle tracking, run cohort analyses, and design A/B tests for engagement and retention features

Scale operations: Develop 0→1 playbooks, hire community managers, and handle white-glove delivery for lab contracts while automating long-term systems

Qualification

Community buildingData analysisGrowth hackingGamificationTwo-sided marketplace experienceCreative executionHuman motivation understandingHands-on approach

Required

Experience growing two-sided marketplaces, consumer apps with high friction, developer products, creator economies, or gig/freelancer platforms (supply-side bias)

A track record of building engaged communities— developer ecosystems, or competitive programming platforms

Comfort with data analysis (cohorts, funnels, retention metrics) and building lightweight systems

Run growth hacks that are highly creative and being able to make decisions from intuition in the early days when not much data is available to draw conclusions

Ability to design scalable processes—from onboarding to QA to contributor promotions

Strong product sense for human motivation and psychology; you think in systems of incentives

Willingness to work hands-on: sourcing talent, running community experiments, and jumping into ops

Scrappy, creative executor who thrives on unconventional channels and tactics

Comfortable working 70+ hours in-office with high ownership

Equity-motivated, excited to build a foundational system for AI progress

Fast mover: prefers testing ideas live over long planning cycles