GTM AI Automation Engineer

Factored; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity participation

Annual company retreat

Education bonus

Winter break

Paid time off

Optional in-person events

Tailored career roadmaps

High-performance culture

Job summary

Factored, founded by Dr. Andrew Ng and Israel Niezen, offers fully remote engagements to help U.S. companies build AI, ML, and data teams with LATAM talent.

You’ll own end-to-end AI workflow pipelines, integrate signals into seller actions, and collaborate with Sales, Account Management, Partnerships, Data, and Engineering to deploy and improve revenue-driven workflows. You will design prompts, manage skills and plays, and measure performance while ensuring reliable AI execution and user

Qualifications

• Track record of building AI workflows or automations used by real teams.
• Experience with Python or JavaScript/TypeScript, plus SQL.
• Experience with APIs, webhooks, authentication, rate limits, and error handling.
• Hands-on experience with LLM APIs, context design, retrieval, tool use, and output evaluation.
• Experience with workflow platforms such as n8n, Make, or Clay.
• Understanding of CRM workflows, B2B account targeting, segmentation, buyer relevance, and funnel conversion.
• Ability to diagnose whether weak results come from data, targeting, messaging, workflow execution, or seller adoption.
• Clear English communication and the ability to translate business needs into working systems.
• Helpful experience: HubSpot, ZoomInfo, conversation intelligence, enterprise sales, account expansion, and partner sales motions.

Responsibilities

• Signal intelligence: Detect account changes, enrich records, and prioritize opportunities based on fit, timing, and supporting evidence.
• Sales workflows: Translate approved plays into buyer recommendations, outreach drafts, meeting preparation, partner introduction paths, and CRM updates.
• Shared GTM memory: Connect account data, call transcripts, sales content, and customer feedback into reusable context for sellers and agents.
• Learning loops: Capture seller feedback and commercial outcomes.
• Maintain versioned prompts, skills, and plays, then test and improve them.
• Performance measurement: Track account coverage, adoption, signal-to-action speed, conversion, and pipeline contribution by signal, play, segment, persona, and channel.
• Reliable execution: Evaluate AI outputs, handle integration failures, manage costs and permissions, and maintain appropriate human review.
• Document workflows and train users.

Skills

Python

JavaScript/TypeScript

SQL

APIs

Webhooks

Authentication

Error handling

LLM APIs

Context design

Retrieval

Tool use

n8n

Make

Clay

CRM workflows

Account targeting

Segmentation

Funnel conversion

Troubleshooting

Clear communication

HubSpot

ZoomInfo

Conversation intelligence

Enterprise sales

Partner sales

Tools

HubSpot

ZoomInfo

CRM

Job description

Fully remote | Complete engagement job Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world. At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.

The role

You’ll build and operate the agents, integrations, and workflows behind our GTM Platform: a shared intelligence layer that turns account signals into seller actions and improves through feedback and results. Qualified signals × validated sales plays × timely action = revenue. Working with Sales, Account Management, Partnerships, Data, and Engineering, you’ll own workflows from discovery and prototyping through deployment, adoption, and improvement.

What you’ll own

• Signal intelligence: Detect account changes, enrich records, and prioritize opportunities based on fit, timing, and supporting evidence.
• Sales workflows: Translate approved plays into buyer recommendations, outreach drafts, meeting preparation, partner introduction paths, and CRM updates.
• Shared GTM memory: Connect account data, call transcripts, sales content, and customer feedback into reusable context for sellers and agents.
• Learning loops: Capture seller feedback and commercial outcomes.
• Maintain versioned prompts, skills, and plays, then test and improve them.
• Performance measurement: Track account coverage, adoption, signal-to-action speed, conversion, and pipeline contribution by signal, play, segment, persona, and channel.
• Reliable execution: Evaluate AI outputs, handle integration failures, manage costs and permissions, and maintain appropriate human review.
• Document workflows and train users.

What you bring

A track record of building, deploying, and improving AI workflows or automations used by real teams.

• Practical Python or JavaScript/TypeScript skills, plus SQL.
• Experience with APIs, webhooks, authentication, rate limits, and error handling.
• Hands‑on experience with LLM APIs, context design, retrieval, tool use, and output evaluation.
• Experience with workflow platforms such as n8n, Make, or Clay, and judgment about when to use custom code.
• Understanding of CRM workflows, B2B account targeting, segmentation, buyer relevance, and funnel conversion.
• Ability to diagnose whether weak results come from data, targeting, messaging, workflow execution, or seller adoption.
• Clear English communication and the ability to translate business needs into working systems.
• Helpful experience : HubSpot, ZoomInfo, conversation intelligence, enterprise sales, account expansion, and partner sales motions.

Our Benefits

• Ownership through equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Company‑wide winter break.
• Paid time off.
• Optional in‑person events and meetups.
• Tailored career roadmaps.
• High‑performance culture.

At Factored , we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team.

Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around.

Life is too short to work with people who don’t inspire you. We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume.

As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results.

All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing.

We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America.

We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.

In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission.

When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.