HumanSignal enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding…
HumanSignal enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding…
Product: Label Studio — open-source and enterprise data labeling/annotation platform
Founded: 2019
Rebrand: Rebranded from Heartex to HumanSignal in June 2023
Users / community: Label Studio community: over 100,000–250,000 users (reported figures vary)
Latest known funding: Series A led by Redpoint (May 18, 2022)
Company Overview
Problem Domain
Data labeling, dataset creation, model training/validation, human-in-the-loop AI
Founded
2019
Industry
Software Development
Funding Track Record
Seed- 2021-01-04
Seed round reported in early January 2021
Series A- 2022-05-18
25,000,000
Series A led by Redpoint with participation from Unusual Ventures, Bow Capital, Swift Ventures and angels
Investor Signal
“Redpoint led Series A; other investors include Unusual Ventures, Bow Capital, Swift Ventures”
Founders
What we do
Join the Team
AI Engineer
On-SiteSan Francisco Bay Area, Austin, US
On-Site • San Francisco Bay Area, Austin, US
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Who you are
This is fundamentally an engineering role, not traditional GTM operations. We’re looking for someone who enjoys building systems, not managing tools
Strong engineering background (software, data, or growth engineering)
Comfortable shipping production code (APIs, services, scripts, internal tools)
Experience working with data pipelines, analytics, and experimentation frameworks
Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems
Ability to work cross-functionally with Product, Engineering, Marketing and Sales
Comfortable operating with ambiguity and defining the problem as you go
Strong communicator who can translate between technical and GTM stakeholders
Experience with open-source or developer-focused products
Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
Experience building internal tools for sales or marketing teams
Prior work in B2B SaaS, data, or AI-first companies
What the job involves
Benefits
Work from Anywhere
Equity Options
Inclusive Culture & Environment
Annual Team Offsite
Time off & Vacation
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We’re looking for an ambitious AI Engineer to transform how our go-to-market team operates
As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers
This is a highly hands-on role for someone who enjoys shipping systems, experimenting rapidly, and solving messy real-world problems with software
This role is a force multiplier for the entire company. You’ll build the infrastructure that allows the GTM team to move faster, learn faster, and scale without proportional headcount
Turn GTM from a set of tools into a cohesive, intelligent system
Scale workflows without scaling headcount
Improve signal quality and timing for marketing and sales
Increase learning velocity across the entire funnel
Shape how an open-source, bottom-up product grows into enterprise adoption
Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
Build internal tools and lightweight services that accelerate GTM teams
Replace manual workflows with scalable, automated systems
Design and deploy AI-driven workflows and agents that augment GTM teams
Lead qualification, inbound lead routing, and enrichment
Personalized lifecycle marketing and outbound messaging
Sales assist tools for deal intelligence and account research
Automated account insights, pipeline analysis, and deal lifecycle management
User onboarding, activation, and expansion signals
You’ll continuously improve these systems using real performance data and feedback loops
Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
Partner with Data & Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
Partner closely with Product & Marketing to turn usage insights into GTM leverage
Build the infrastructure that allows the GTM team to learn quickly and iterate with confidence
Design and run experiments across acquisition, activation, conversion, and expansion
