Own end-to-end delivery for major enterprise accounts: scope pilots, lead pod operations, translate customer requirements into prioritized product specs, coordinate engineering, run stakeholder reviews, manage escalations, identify expansion opportunities, and feed insights into the core roadmap. Mentor junior PMs at senior levels.
About Us
The Opportunity
Core Responsibilities
Your Skills and Experience
Nice to Have
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 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.
- 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
- 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
- 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.
Similar Jobs
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Owns the full lifecycle of enterprise AI agent products, from discovering business use cases through deployment and optimization. Partners with engineering, product, program, and business teams to build scalable multi-agent workflows, LLM and RAG solutions, evaluation frameworks, analytics capabilities, and production integrations. Translates ambiguous problems into product requirements, measures adoption and quality, communicates technical concepts, and enables business teams to operate and customize deployed AI solutions.
Top Skills:
AWSAzureBig Data AnalyticsGCPLlmsMachine LearningMcpMulti-Agent OrchestrationNlpPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Own Headway’s enterprise payer product strategy, partnering with strategic payer accounts, Payer BD, Data, and Engineering. Translate commercial needs into reusable product capabilities, establish a repeatable enterprise product framework, and support procurement, legal, and multi-stakeholder buying processes. The role requires balancing enterprise rigor with startup speed while building the function from scratch.
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Own product strategy, roadmaps, backlogs, and execution for Toast Enterprise’s critical product areas. Partner with engineering, design, R&D, customers, external development teams, and go-to-market functions to deliver strategic features, integrations, and platform offerings. Improve product-market fit for enterprise restaurant customers, monitor team performance and system health, communicate product updates, and advocate for customer needs and AI-enabled product development.
Top Skills:
AgileAi ToolsEnterprise Software
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
