About Archetype AI

Archetype AI is developing the world's first AI platform to bring AI into the real world. Formed by an exceptionally high-caliber team from Google, Archetype AI is building a foundation model for the physical world, a real-time multimodal LLM for real life, transforming real-world data into valuable insights and knowledge that people will be able to interact with naturally. It will help people in their real lives, not just online, because it understands the real-time physical environment and everything that happens in it.

Supported by deep tech venture funds in Silicon Valley, Archetype AI is currently pre-Series A, progressing rapidly to develop technology for their next stage. This presents a unique and once-in-a-lifetime opportunity to be part of an exciting AI team at the beginning of their journey, located in the heart of Silicon Valley.

Our team is headquartered in Palo Alto, California, with team members throughout the US and Europe.

We are actively growing, so if you are an exceptional candidate excited to work on the cutting edge of physical AI and don’t see a role that exactly fits you below you can contact us directly with your resume via jobs

About the Role

Archetype AI is seeking a hands-on Revenue Operations Manager to build and optimize our revenue engine from the ground up. You'll be the architect of our lead-to-revenue process, implementing systems, defining qualification criteria, and enabling our sales and marketing teams to hit ambitious growth targets. This is a high-impact role for someone who thrives in a fast-paced startup environment and wants to directly influence our path as we scale our business.

Core Responsibilities

• Lead Management & Qualification

  • Define and implement MQL/SQL criteria from scratch based on our enterprise customer profile and ASP targets;

  • Build lead scoring models and monitor and optimize conversion rates at each funnel stage (MQL→SQL→Opportunity→Close→Post-sales)

  • Create lead routing workflows to ensure proper handoff between marketing and sales teams

  • Establish SLA frameworks for lead response times and follow-up cadences

• Systems Architecture & Implementation

  • Design and implement HubSpot + Salesforce integration to support our sales process and pipeline management

  • Configure marketing automation workflows for lead nurturing, scoring, and segmentation

  • Implement and manage best-in-class tools for:

    • Data enrichment and lead intelligence

    • Demand generation and ABM campaigns

    • Product analytics and customer journey tracking

  • Build reporting dashboards for pipeline visibility, conversion tracking, and revenue forecasting

  • Ensure data hygiene and maintain single source of truth across systems

• Process Optimization & Enablement

  • Document and optimize sales processes from qualification through close

  • Create training materials for sales team on lead qualification and system usage

  • Collaborate with cross-functional teams to streamline processes, identify areas for automation, and implement tools and systems to enhance efficiency

  • Support ABM campaign execution with account research, list building, and campaign tracking

  • Collaborate with sales leadership on quota setting and capacity planning

Required Qualifications

• Experience & Background

  • 3-4 years of Revenue Operations experience at B2B SaaS companies, preferably Series A/B stage

  • Deep expertise with HubSpot CRM, including automation, data structure, and reporting

  • Hands-on experience with Salesforce setup, configuration, and optimization

  • Track record of building lead qualification frameworks and managing marketing-to-sales handoffs

  • Experience with ABM campaigns and enterprise sales processes

  • Familiarity with sales development and inside sales processes

• Technical Skills

  • Expert-level proficiency in HubSpot and Salesforce

  • Strong analytical skills with experience in Excel/Google Sheets, data visualization tools

  • Knowledge of sales enablement tools

  • Experience with data enrichment platforms (ZoomInfo, Apollo, Clearbit, etc.)

  • Basic understanding of APIs and system integrations

  • Familiarity with product analytics tools (Mixpanel, Amplitude, etc.)

• Soft Skills & Attributes

  • Self-starter mentality with ability to work independently and prioritize effectively

  • Strong project management skills with experience leading cross-functional initiatives

  • Excellent communication skills for training, documentation, and stakeholder management

  • Problem-solving mindset with ability to diagnose process issues and implement solutions

  • Startup adaptability — comfortable with ambiguity, rapid changes, and wearing multiple hats

We Would Love To See

• Experience with machine learning and artificial intelligence in production environments.

• Background in edge computing, low-latency pipelines, or multimodal systems.

• Prior work with large enterprise accounts and multi-stakeholder solution sales.

• Knowledge of additional industry-specific standards or compliance frameworks.