PRODUCT MANAGER - PLATFORM GROWTH & SCALING

About Centific

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job PRODUCT MANAGER Platform Growth & Social Experience OneForma by Centific | Remote | Full-time | $160K–$180K + bonus | Reports to: AVP, Product Management

About Oneforma & Centific

Centific is a frontier AI data foundry powering the world's leading foundational AI models. OneForma is Centific's contributor platform: a marketplace of 1.8 million domain experts, annotators, linguists, and AI trainers across 230+ markets. We are executing a bold strategic pivot. OneForma is evolving from a transactional crowd platform into a professional creator network — where contributors build verifiable AI expertise portfolios, engage with an algorithmic task feed, earn through gamified contribution loops, and grow a professional identity in the AI economy. This is a 0-to-1 platform reinvention, not an incremental improvement. WHY THIS ROLE 0-to-1 ownership: you will design and ship a social platform that does not exist yet — the professional identity and engagement layer for the AI economy Direct impact: report to the AVP of Product with genuine decision-making authority from day one — not a support role, not a feature team Market timing: the human-in-the-loop AI training market is expanding faster than any platform is currently serving it — we have the clients, the data, and the contributor base; we need the product Series A company preparing for Series B comes with a lot of growth opportunities with enterprise clients including the world's leading AI labs and technology companies Mission: every feature you ship improves the data quality behind the AI models used by billions of people Team: 150+ PhDs, 4,000+ AI practitioners, 1.8M domain experts across 230 markets — the infrastructure is already here Fully remote with flexibility to collaborate with US and global leadership teams THE ROLE We are looking for a technically fluent Product Manager who combines marketplace growth instincts with enough technical depth to work directly with engineering — reading data, navigating codebases, and making architecture tradeoffs without needing a translator. This role has two phases. In the first six months, you stabilize a platform with significant legacy technical debt — fixing the onboarding experience, unblocking engineering, and establishing the operational foundation to scale. From month six onward, you design the social-marketplace hybrid: algorithmic task feeds, contributor identity profiles, gamified engagement loops, and viral referral mechanics that take OneForma from 1.8 million contributors to 18 million. You do not need to have built a ranked video feed before. You do need to understand how one works, be able to spec one with a data science team, and have the growth instincts to design the loops that bring contributors back daily. KEY RESPONSIBILITIES Phase 1 — Platform Stabilization (Months 1–6) Own the contributor onboarding redesign: reduce sign-up-to-first-task from 30 minutes to under 3 minutes by simplifying identity verification, certification, and task matching Work directly with engineering on legacy architecture decisions — understand data flows, surface tradeoffs, and advocate for solutions without requiring engineering to translate for you Define and track platform health metrics: activation rate, time-to-first-task, task completion rate, payment cycle time, contributor satisfaction score Establish a fast feedback cadence with engineering: review shipped features in dev environments, provide same-day input, reduce sprint cycle drag Phase 2 — Social Platform Build (Months 6+) Design and own the algorithmic task feed: a personalized interface where contributors discover tasks, micro-learning content, and peer activity matched to their skills and history Build the contributor identity layer: public AI expertise profiles with verified accuracy rates, domain certifications, skill badges, and shareable portfolio artifacts Design PLG growth loops: content share mechanics, peer validation referral bonuses, and cohort-based project matching to drive organic contributor acquisition Lead gamification systems: streaks, tier progression, leaderboards, and certification unlocks designed to drive daily return behavior, not just one-time activation Collaborate with data science on the matching and recommendation engine: contributor-to-task routing, dynamic pricing, and cold-start solutions for new contributor segments Cross-Functional & Strategic Partner with AVP of Product to define the roadmap balancing stabilization, growth, and enterprise B2B requirements Work with enterprise sales to translate client requirements — specialized contributor segments, domain certifications, rapid turnaround SLAs — into platform capabilities Define North Star metrics across both sides of the platform: DAU/WAU, session depth, task completion rate, data pipeline volume, match accuracy Build and mentor product success team members as the function grows REQUIRED QUALIFICATIONS Experience 5–8 years of product management experience in consumer platforms, marketplace products, or growth-focused roles Proven track record designing and shipping growth loops with measurable activation, retention, or referral outcomes — not just funnel optimization Experience with two-sided or multi-sided marketplace dynamics: contributor/creator activation, supply/demand balancing, liquidity mechanics Hands-on experimentation: A/B test design, holdout groups, guardrail metrics, statistical significance — owning the full cycle from hypothesis to roadmap decision Experience working with distributed engineering teams across timezones: able to communicate requirements precisely in async formats and maintain momentum without synchronous dependency Technical Fluency (Required) SQL proficiency: writes and interprets queries independently for funnel analysis, cohort breakdowns, and experiment readout Comfortable navigating codebases and using AI coding tools (Claude Code, Cursor, Copilot) to demo features, review shipped work, and reduce discovery dependency on engineering Working knowledge of APIs, data flows, and system architecture — able to identify where technical debt creates product risk and communicate tradeoffs clearly to engineering leadership Able to participate in ML/data science discussions on model inputs, signal design, and experiment methodology — not required to build models, but required to spec and evaluate them Skills & Mindset PLG & viral mechanics: designs referral loops, social sharing triggers, and network-driven onboarding — not just onboarding checklists Gamification: experience with streak mechanics, badge systems, tier progression, or engagement loops that drive habitual return behavior Bias to action: ships MVPs quickly, iterates on real signal, comfortable with ambiguity and incomplete data User-centric: obsessed with understanding contributor pain points and behavior — goes through the product as a user, not just as a PM reviewing specs Collaborative: builds trust with engineering, data science, operations, and sales — operates as a connector, not a gatekeeper PREFERRED QUALIFICATIONS Experience owning an algorithmic content feed, recommendation system, or personalization engine as a PM — able to engage with ranking logic, signal weighting, and cold-start problems (strong preference, not hard requirement) Background at a high-scale consumer social platform, creator economy product, or content feed with large active user bases (strong preference, not hard requirement) Experience with creator identity, professional credentialing, or reputation systems Background in AI/ML product development: worked on products where ML models are a core feature, not just a backend tool 0-to-1 platform launches with demonstrated user growth Experience with gig economy, crowdsourcing, or workforce platforms Mandarin Chinese: significant practical advantage given our China-based engineering team International/global product experience across multiple markets and languages

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.