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What is the difference between Ai Blockchain vs Data Scientist?
| Aspect | Ai Blockchain |
|---|---|
| Required Credentials | Typically requires knowledge of blockchain technology, AI, programming, and certifications in AI or blockchain |
| Work Environment | Often works in tech companies, startups, or blockchain firms focusing on AI integration |
| Employer & Industry Usage | Used in industries like finance, supply chain, and tech for developing decentralized AI applications |
| Common Search & Comparison Intent | Understanding roles in AI and blockchain integration, career paths, and skills overlap |
Ai Blockchain professionals focus on developing AI-powered blockchain solutions, combining expertise in AI and blockchain technology. Data Scientists analyze data to extract insights, often working with AI but not necessarily with blockchain. While both roles require programming and analytical skills, Ai Blockchain specialists emphasize decentralized systems and AI integration, whereas Data Scientists focus on data analysis and modeling.

$238K - $249K/yr
Full-time
Posted 23 days ago
Job description
Location: Remote (Global)
Position: Head of Product
Company: AIVM
Position Type: Full-Time
About AIVM
AIVM is building the guardrails for the post-human agentic economy, integrating cutting-edge AI and Blockchain technology. Our toolkit will enable standardized agentic payments, identity, and accountability, providing a key piece of infrastructure for the coming 1 billion AI agents. AIVM is part of the ChainGPT ecosystem, a pioneer in the decentralized AI field.
About the Role
We are looking for a highly technical and execution-driven Head of Product to lead one of the most ambitious initiatives in Web3: the AIVM (Artificial Intelligence Virtual Machine).
Reporting to the CEO, you will translate AIVM's company vision into product architecture, roadmap, developer experience, and launch execution, including:
- The Policy Oracle: Cryptographic guardrails that intercept, evaluate, and enforce agent action before execution.
- Agent Identity and Reputation: including emerging standards such as ERC-8004.
- Programmable Payments and Wallet Abstraction: including x402-inspired flows.
- Immutable Accountability: via execution receipts that make agent actions traceable and auditable.
We are currently in a high-velocity, pre-mainnet phase.
This is not a conventional SaaS feature-shipping role. You will define primitives, product architecture, developer experience, and ecosystem adoption from pre-mainnet to launch.
Responsibilities
The immediate priority is to inherit the current roadmap, pressure-test the core primitives, align engineering and go-to-market, and drive the platform toward testnet/mainnet readiness.
Product Vision & Platform Strategy
- Inherit and evolve the existing product vision, roadmap, and platform strategy for the AIVM ecosystem.
- Position AIVM as a category-defining decentralized AI infrastructure layer.
- Translate complex technical capabilities into clear product strategy and market positioning.
- Lead the design of AIVM as a multi-sided platform serving:
- Agent developers and AI application teams
- Protocols and apps integrating autonomous agents
- Enterprises needing policy, compliance, and controlled execution
- Node operators / validators / infrastructure providers
- Data, compute, and model providers
- Define core primitives: APIs, SDKs, execution layers, and developer experience.
- Build and lead a high-performance product function.
- Drive end-to-end product execution from concept to Mainnet and beyond.
- Establish product processes that balance speed, quality, and scalability.
- Partner deeply with engineering to align on architecture, trade-offs, and delivery.
- Run product and technical execution rituals to maintain roadmap clarity, accountability, and delivery momentum.
- Act as the central bridge between product, engineering, marketing, and business development.
- Collaborate on go-to-market strategy, product launches, and narrative.
- Support partnerships with strong product thinking and technical clarity.
- Define and track core product and ecosystem KPIs:
- Developer adoption
- Agent deployments
- Network activity and retention
- Use insights to continuously refine product direction and priorities.
Requirements
Must have:
- 7+ years of experience in Product Management, including 2-3+ years in leadership roles.
- Technical experience is mandatory for this role. The candidate must be able to communicate effectively with our Tech Team and discuss in technical language.
- Optional(but really important to have):
- Solid understanding of AI/ML infrastructure (inference, training, compute economics).
- Experience building platforms, infrastructure products, or developer-facing systems.
- Strong background in blockchain/Web3, ideally L1, L2, or AI ecosystems.
- Proven ability to define and execute product strategy in complex, emerging markets
Strong Plus:
- Experience working in remote, fast-paced, high-ownership environments.
- Utilizing AI Agents infrastructures for optimization (Claude/OpenClaw)
- Strong communication and leadership skills with the ability to align technical and non-technical stakeholders.
- Comfortable operating before product-market fit, where the job is to reduce ambiguity, define primitives, and force trade-offs.
Benefits
Company Culture and Values
At AIVM, we value trust, effective speed, innovation, and growth. You will be expected to operate with high ownership, clear communication, and strong execution discipline in a fast-moving, pre-mainnet environment.
Benefits & Additional Information
What We Offer
- Work on one of the most ambitious AI x Blockchain infrastructure products in the market.
- Remote-first setup with flexible hours, focused on outcomes, trust, and ownership.
- Competitive compensation, with performance-based upside where applicable.
- Fast-moving environment with direct access to leadership and zero micromanagement.
- The tools, autonomy, and support needed to build at scale.
Additional Information:
- Employment Compliance and Confidentiality:
- All employees will be onboarded through our official payroll and HR provider, which manages employment documentation, tax withholdings, and compliance with legal requirements based on the employee's country of residence. As part of the onboarding process, each new hire is required to complete a Know Your Customer (KYC) verification, sign a Non-Disclosure Agreement (NDA), execute an employment contract, and fulfill any additional legal requirements specific to you jurisdiction. This process ensures compliance, protects company information, and establishes a secure and professional employment relationship.
- Employment Structure:
- The position is offered on either an employee or contractor basis, depending on the location and role. Individuals will receive payment via direct deposit on a monthly basis. Additional details regarding compensation, benefits, and company policies will be provided during onboarding and outlined in the official employment agreement.
- Compensation:
- Salaries are paid in fiat currency via direct deposit on a monthly schedule, with payments issued on the first business day of each month. This structure ensures timely and transparent compensation aligned with local financial systems.
- Probationary Period:
- All new employees will undergo a 90-day probationary period, which serves as a mutual evaluation phase. During this time, both the employee and ChainGPT can assess fit, performance, and long-term alignment with the role and company.