AI Engineer (GTM)

HumanSignal is a company focused on building a platform that powers the creation, curation, and evaluation of high-quality data for AI applications. They are seeking an ambitious AI Engineer to architect and build AI-powered systems that enhance their go-to-market operations, improving efficiency and scalability across marketing and sales workflows.

Responsibilities:

• Build & Automate the foundational GTM AI stack
• 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
• Examples include:
• 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
• Build experimentation frameworks (feature flags, A/B testing, measurement systems)
• Instrument systems to capture reliable data and insights
• Rapidly iterate based on results, not assumptions
• Create tight feedback loops between users, product signals, and GTM actions
• Partner with head of , accessible, and actionable across teams
• Turn qualitative and quantitative insights into system improvements
• Continuously optimize workflows, models, and automation based on real outcomes

Requirements:

• 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