Reforged Labs

About Us Reforged Labs (YC W22) is building the AI-powered creative intelligence platform for mobile marketers and user acquisition teams. Backed by Y Combinator and DCM, our flagship product, Boa, analyzes ad creative performance across the market and helps teams understand what’s working, why it’s working, and what to create next. By integrating MMP data, market intelligence, and proprietary AI agents, Boa predicts and suggests ad creatives with higher hit rates. In our latest case study with Supercell, 80% of Boa’s ads outperformed Supercell’s own control ads. Teams using Boa ideate, produce, and iterate on ad creatives 2–3x faster while improving ROAS. Our team brings backgrounds from Google, Microsoft, and Harvard. Our team is building AI agents that transform creative strategy for major global game studios. Our systems handle multimodal understanding across text, image, and video, and deliver in production what traditional teams would prototype in a year. We are a small, senior team operating at the frontier of agentic AI. The Opportunity The Enterprise Product Manager owns the full lifecycle of client engagements, from initial scoping through pilot delivery and ongoing iteration. You will be the primary point of contact for senior stakeholders at major customers, translating business requirements into product specifications and ensuring delivery is on time and to standard. This role operates within a pod-based delivery model, where each pod is aligned to a major enterprise account. You will lead your pod, coordinate cross-functionally with engineering, and hold end-to-end accountability for outcomes. The level of hire will reflect the candidate's scope of ownership and prior experience. Core Responsibilities Serve as the primary relationship owner for assigned enterprise accounts Lead pod operations: define scope, manage delivery timelines, and coordinate with engineering Gather and synthesize customer requirements into prioritized product specifications Run stakeholder reviews, present progress to senior client contacts, and manage escalations Identify product gaps and expansion opportunities within accounts Feed customer insights back into the core product roadmap At senior and lead levels: mentor junior PMs and contribute to the development of pod operating practices Your Skills and Experience 3+ years in a product or customer-facing role managing enterprise accounts or complex delivery programs Demonstrated ability to manage senior stakeholder relationships independently Strong written and verbal communication in English Experience scoping and delivering software products end-to-end Comfort with fast-moving environments and frequently shifting requirements Nice to Have Background in gaming, media, or creative industries Familiarity with AI products, LLM workflows, or agentic systems Startup or early-stage company experience Technical fluency sufficient for substantive engagement with engineering teams Reforged Labs is an equal opportunity employer and values diversity at our company.

About Us Reforged Labs (YC W22) is building the AI-powered creative intelligence platform for mobile marketers and user acquisition teams. Backed by Y Combinator and DCM, our flagship product, Boa, analyzes ad creative performance across the market and helps teams understand what’s working, why it’s working, and what to create next. By integrating MMP data, market intelligence, and proprietary AI agents, Boa predicts and suggests ad creatives with higher hit rates. In our latest case study with Supercell, 80% of Boa’s ads outperformed Supercell’s own control ads. Teams using Boa ideate, produce, and iterate on ad creatives 2–3x faster while improving ROAS. Our team brings backgrounds from Google, Microsoft, and Harvard. Our team is building AI agents that transform creative strategy for major global game studios. Our systems handle multimodal understanding across text, image, and video, and deliver in production what traditional teams would prototype in a year. We are a small, senior team operating at the frontier of agentic AI. The Opportunity We are looking for a software engineer who can own significant parts of our AI systems end-to-end. You will work directly with product and enterprise customers to scope, build, and ship, not hand off tickets. This means writing production code, making architectural decisions within your domain, and taking full responsibility for the quality and reliability of what you ship. The scope of your responsibilities will reflect your experience. Engineers with more years take on system-wide architecture decisions, lead technical design for major product areas, and raise the quality bar across the team. Engineers earlier in their careers focus on deep delivery within a domain and build toward that broader ownership over time. All engineers are expected to be comfortable across the full stack, backend in Go and frontend in Next.js, and to work fluently with AI-assisted development tooling. Core Responsibilities Design and build production AI agents, agentic workflows, and the backend systems that support them Own features end-to-end: from technical scoping and architecture through deployment and monitoring Integrate and extend multimodal pipelines working across text, image, and video Contribute to and improve shared internal agentic frameworks and infrastructure Participate in design reviews; contribute to architectural decisions within your scope Write well-tested, maintainable code and hold the same standard in peer reviews Collaborate directly with product managers and enterprise customers to iterate on pilots At senior and staff levels: lead cross-functional technical design, define direction for major product areas, and mentor engineers across the team Your Skills and Experience 3+ years of professional software engineering experience in a production environment Strong foundations in computer science: data structures, algorithms, and system design Proven ability to deliver production software end-to-end with minimal supervision Proficiency in Go or Python Clear written and verbal communication in English Comfort operating in fast-moving environments with ambiguous or shifting requirements Nice to Have Hands-on experience building with LLMs, agentic frameworks, or multimodal models in production Familiarity with orchestration tooling such as LangChain or Google ADK Experience at a startup or in a founding engineer capacity Background in full-stack development spanning Go backends and React/Next.js frontends At senior/staff level: demonstrated history of technical leadership and cross-functional influence Tech Stack Primary languages: Go (backend), Next.js (frontend) AI development: Claude Code Reforged Labs is an equal opportunity employer and values diversity at our company.