Revic Logo

Revic

Founding GTM AI Engineer

Posted 6 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA
Junior
In-Office
San Francisco, CA
Junior
As the Founding GTM AI Engineer, you will create AI-driven solutions to enhance revenue-generating workflows, build automations, and analyze sales data to inform strategies.
The summary above was generated by AI
About Revic

Great sellers are the lifeblood of every business. They build relationships, understand needs, and close deals that drive growth. But too often, they're buried under administrative work, disconnected tools, and processes that pull them away from what they do best—selling.

We believe salespeople deserve better. They deserve technology that works for them, not against them.

Revic is an AI-native sales acceleration engine built to uplift sales professionals. We handle the complexity—analyzing data, identifying opportunities, triggering the right workflows—so reps can focus on the human side of sales. The conversations. The relationships. The moments that matter.

Our platform learns what's working, defines who to sell to, and gives reps the context they need to move with confidence and precision. It removes the friction that slows them down and amplifies their natural strengths.

Sales will always be human. Revic exists to make sure it stays that way—by letting AI handle everything else.


Why This Role Exists

This role exists to turn GTM signal into company-wide execution.

As Revic’s Founding GTM AI Engineer, you will work directly with Revic’s CEO, Head of Revenue, and Head of Engineering to design and build the systems that translate real customer conversations and GTM data into automated actions across the entire organization.

This role sits at the center of Revic’s operating system. You will ensure insights captured in Revic don’t remain trapped in dashboards or call recordings, but instead drive real-time responses across GTM, product, and engineering.

This is a foundational, high-impact role. The systems you build will influence how decisions are made, how teams prioritize work, and how Revic learns and scales.


What You’ll Do

Build Intelligence-Driven Systems

  • Partner closely with the CEO, Head of Revenue, and Head of Engineering to identify high-leverage opportunities for AI-driven automation

  • Design systems that continuously analyze Revic data, call recordings, and customer interactions

  • Translate insights into automated, organization-wide workflows

Trigger GTM Actions Automatically

  • Use Revic data and conversations to dynamically update outbound and inbound messaging

  • Generate GTM content (blogs, LinkedIn posts, enablement assets) from real customer language

  • Surface emerging objections, value propositions, and buying signals

  • Turn customer conversations into living inputs for how Revic positions and sells

Extend GTM Signal Beyond GTM

  • Route insights from sales calls directly into product and engineering prioritization

  • Inform feature discovery, validation, and roadmap decisions

  • Identify recurring friction, gaps, and unmet customer needs

  • Reduce reliance on anecdotal feedback by systematizing customer signal

Operate as a Founding Builder

  • Act as a connective layer between GTM, product, and engineering

  • Identify where human interpretation slows the organization down and replace it with systems

  • Move from idea to prototype to production with urgency and ownership

  • Help define how this intelligence layer scales as Revic grows

Own automation across three core areas

  • Outbound & pipeline automation (SDR-like agents, targeting, follow-ups)

  • Pre-sales automation (context gathering, iteration, deal support)

  • Post-sales & Customer Success automation (task creation, updates, workflow handoffs)


Why This Role Is Critical

Most companies collect GTM data. Very few operationalize it across the organization.

This role ensures:

  • Sales insights don’t die in call recordings

  • Product and engineering decisions are informed by real buyer conversations

  • Messaging evolves automatically as the market changes

  • Leadership can act faster with less manual synthesis

You are building the connective tissue between customers, leadership, and execution.


You belong here if….
  • You think in systems and feedback loops, not one-off automations

  • You understand how GTM data can influence every part of a company

  • You’ve built workflows or tools that changed how teams operate, not just how they report

  • You’re comfortable collaborating directly with executive leadership

  • You thrive in ambiguity and are excited to build foundational infrastructure


What Success Looks Like
  • GTM data drives decisions across Revic automatically

  • Messaging and content evolve continuously based on real customer input

  • Engineering priorities reflect structured customer signal

  • Leadership operates with faster feedback loops and clearer market visibility


Logistics & offer

Competitive base + meaningful equity (we're not another 0.001% shop)

Premium health, dental, vision - we take care of our people

Location - San Francisco Bay Area | New York City / Metro Area | Remote (US)

Offsite - We trade slack for sunshine, every quarter we meet in-person

The intangibles:

  • Work shoulder-to-shoulder with Revic’s leadership team

  • Shape how decisions are made across the company

  • Build systems that compound in value as Revic scales

  • Learn faster than any course could ever teach you — from real data, real users, real stakes.

Top Skills

AI
Conversation Intelligence
Crm Systems
Sales Automation
HQ

Revic San Francisco, California, USA Office

San Francisco, California, United States, 94105

Similar Jobs

2 Hours Ago
In-Office
Costa Mesa, CA, USA
98K-130K Annually
Mid level
98K-130K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Operations Analyst supports Supplier Operations by identifying and resolving supplier issues, improving supplier performance, and ensuring accountability through data analysis.
Top Skills: Atlassian SuiteFoundryOracle Erp
2 Hours Ago
In-Office
Costa Mesa, CA, USA
129K-171K Annually
Senior level
129K-171K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Strategic Sourcing Manager will develop commodity strategies for mechanical hardware, lead sourcing processes, negotiate supplier agreements, and ensure continuity of supply and product quality.
Top Skills: AIComputer VisionNetworking TechnologySensor FusionSupply Chain Management
2 Hours Ago
In-Office
Costa Mesa, CA, USA
146K-194K Annually
Senior level
146K-194K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
Lead and optimize supply chain processes for compliance and efficiency in the Aerospace & Defense sector, fostering team development and mitigating risks.
Top Skills: Erp SystemsProcess Mapping ToolsSupply Chain Management 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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account