As a Founding Product Engineer at DeForm, you'll create experiences for blockchain interactions, oversee product features, and enhance customer engagement with AI. Responsibilities include managing backend and frontend systems and collaborating with customers to explore product design.
🚀 We're DeForm:
With $4.6M in backing by Elad Gil, Naval Ravikant, Steve Jang of Kindred Ventures, and more, DeForm is an early stage startup changing how blockchain and crypto companies interact and engage with their audience. Through us, you will have more success in launching, managing, and rewarding your crypto communities and ecosystems. Born out of a hackathon a year ago, we're already processing data for millions and powering campaign launches for customers like Coinbase!
✋ About the Role:
As a Founding Product Engineer at DeForm, you're not only a teammate, you are an early hire that will set the tone for both the business and culture. You'll craft experiences that:
- facilitate foundational information exchange between consumers and businesses
- verify blockchain information with a given onchain identity
- accelerate customer information processing with the use of AI
- enable anyone to distribute crypto-native assets without technical know-how
What we can promise you is that this will be an unforgettable adventure – so if you're excited to co-create the future of marketing and community with us, keep on reading. 🙌
🔍 Who we're looking for:
- 4+ years of fullstack software engineering experience preferably with experience in VC backed startups
- Experience with modern frontend frameworks (e.g., React, Angular, Vue, Next.js) and API-based backends (e.g., REST, GQL).
- Enjoys shipping products/features end to end and able to prototype and iterate quickly around sophisticated user workflows
- Strong technical communication skills and able to distill complex information to non-technical audiences
- Enjoys working closely with customers through various communication channels to gather requirements
- A desire to put on a product focused hat and lead their own designs and development
- Must be able to commute to the office in San Francisco by the Giants ballpark
🙌 Features that you may build:
- Viral waitlist gamification protocols
- Scalable infrastructure for virtual waiting rooms
- Autogenerate a form with AI / GPT
- Minting NFTs and/or tokens after a form response
- Onchain workflows & automations - the first-ever IFTTT tool with native onchain actions
- Integrations with many other SaaS tools (Hubspot, Salesforce, Sendgrid, etc)
- In-app native table experience with onchain data analytics (imagine Airtable but you can easily add columns that pull onchain data)
- In-app user & customer directory (web3 CRM)
- SOC2 & GDPR compliance for our enterprise users
🍄 Bonus:
- You're captivated by the transformative potential of web3 and crypto technologies, maybe even a seasoned explorer of this digital frontier.
- You’re familiar with crypto through opening your own wallet, minting an NFT, etc.
- You have an entrepreneurial spirit and want to see what building a business from the ground up is like
❤️ Benefits
- Premium medical, dental, and vision benefits
- Flexible time off
- Early stage equity
- Annual team travel opportunities to conferences internationally
Megaphone (megaphone.xyz) San Francisco, California, USA Office
San Francisco, California, United States
Similar Jobs
Information Technology • Professional Services • Security • Consulting
Lead hands-on architecture and development for greenfield digital products and the engineering platform supporting them. Build full-stack solutions, distributed backends, cloud infrastructure, CI/CD pipelines, reusable services, Kubernetes and infrastructure-as-code capabilities. Establish observability, quality, and engineering standards while mentoring engineers and partnering with product and design teams to improve delivery velocity and autonomy.
Top Skills:
AWSCi/CdDockerGCPGithub ActionsGitlab CiGoGrafanaInfrastructure As CodeJaegerKubernetesPrometheusPythonReactTerraformTypescript
Artificial Intelligence • Big Data • Productivity • Software
Own and ship customer-facing features across Freckle’s web app, CLI, API, and agent integrations. The Founding Engineer will work directly with customers, turn manual GTM workflows into products, answer tickets, fix issues, and use coding agents while exercising strong technical judgment. The role requires full-stack engineering, product sense, autonomy, and a pragmatic approach to building Freckle’s product direction.
Top Skills:
APIsClaudeCliCodexEffectElectricsqlMcpPostgresReactRedisTanstackTypescriptVite
Artificial Intelligence • Software • Automation
Own major technical initiatives from ambiguous customer and product problems through architecture, implementation, iteration, and production delivery. Build AI-native systems using LLMs, agents, evaluations, retrieval, enterprise context, and workflow automation. Set technical direction, make architectural tradeoffs, review work, unblock engineers, and translate customer signals into technical plans. Ship meaningful production work, clarify technical ownership, and reduce execution bottlenecks in a fast-moving startup environment.
Top Skills:
Ai AgentsAi SystemsInfrastructureLlmsRetrievalWorkflow Automation
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
