Factored

GTM AI Automation Engineer

Posted 3 Days Ago

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11 Locations

Remote

Entry level

Artificial Intelligence • Machine Learning • Analytics

The Role

Build and operate AI agents, integrations, and workflows for a go-to-market platform. Responsibilities include detecting account signals, enriching data, generating sales recommendations, connecting CRM and sales intelligence sources, maintaining prompts and workflows, evaluating AI outputs, measuring performance, handling integration failures, and improving seller adoption. The role requires collaboration across Sales, Account Management, Partnerships, Data, and Engineering.

Summary Generated by Built In

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.

Skills Required

Track record of building, deploying, and improving AI workflows or automations used by real teams
Practical Python or JavaScript/TypeScript skills
SQL experience
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 arise from data, targeting, messaging, workflow execution, or seller adoption
Clear English communication skills
Ability to translate business needs into working systems
Experience with HubSpot
Experience with ZoomInfo
Experience with conversation intelligence
Experience with enterprise sales
Experience with account expansion
Experience with partner sales motions

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The Company

HQ: Mountain View, CA

166 Employees

Year Founded: 2019

What We Do

Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.