About us
Humaans is building the next generation of infrastructure for the workplace; software designed for companies that are scaling fast, operating globally, and pushing into new boundaries.
What started as a system of record has evolved into a broader platform for operating people globally. With Athena, our agentic AI layer, Humaans moves beyond data management into intelligent orchestration, connecting workflows across HR, IT, Finance, and Operations so organisations can act faster and with greater confidence, redefining how work gets done.
We work with ambitious teams across Europe and the US, from AI-native companies like Lovable, Poolside, Fyxer AI, and Tandem Health, to established, high-growth organisations scaling internationally and through acquisition, including Quantexa, Sellpy, Manychat, Gigs, Croud, and Threecolts. These teams don’t buy software for features,they buy leverage. The ability to run faster, cleaner, and with more control as complexity compounds.
To date, we’ve raised $20m in venture funding from some of the most respected founders, operators, and funds in technology: Lachy Groom (Physical Intelligence), Stewart Butterfield (Slack), Tobias Lütke (Shopify), Dylan Field (Figma), Jeff Weiner (LinkedIn), Claire Johnson (Stripe), Oliver Jay (OpenAI), Jay Simmons (Bond) as well as Y Combinator, Moonfire, Frontline Ventures, Pathlight Ventures, and Exor.
If you have massive ambition and want to work on a hard problem, with a small team that moves fast, at a moment when the category is genuinely up for grabs - this is it.
The role
Revenue teams used to scale by adding people. Increasingly, they scale by building better systems. We’re looking for a GTM Engineer to own the infrastructure behind how Humaans finds, engages and converts customers, turning our go-to-market strategy into automated systems that can operate at scale.
This is a builder role, not a reporting role. You’ll sit across RevOps, Sales and Marketing and own the connective tissue between them: data pipelines, enrichment, buying signals, lead scoring, routing, AI agents and outbound infrastructure. These systems determine which accounts we pursue, what we know about them and what happens next.
When a process is manual, slow or dependent on an individual rep, you’ll look for a better way to build it. Your impact should scale beyond your own output because the systems you create keep working, learning and improving.
What you’ll do
Own the foundations of our GTM data, keeping HubSpot trustworthy through automated enrichment, hygiene routines and clear ownership rules
Build enrichment and scoring workflows that turn raw firmographic, behavioural and signal data into ranked, ready-to-action target accounts
Design signal-based plays that identify meaningful buying signals and trigger the right action at the right moment
Own cold email as a core outbound channel, including sending infrastructure, deliverability, inbox health, personalisation and monitoring
Deploy AI agents for research, personalisation, CRM updates and other repetitive GTM workflows, with guardrails that protect quality and our brand
Connect GTM tools through APIs, defining sources of truth and designing how data moves reliably between systems
Launch new outbound campaigns continuously, run structured experiments and feed what you learn back into the system
Treat copy as a testable variable, systematically experimenting with subject lines, opening angles, messaging and CTAs, then incorporating what works into templates and agent prompts
Partner closely with SDRs, AEs and leadership to identify bottlenecks and ship solutions in days rather than waiting for lengthy projects
Design experiments with clear success metrics, stop investing in what underperforms and scale what works
Operate at volume, managing thousands of leads moving through our systems without compromising data quality or targeting
Continuously look for places where automation, AI or better infrastructure can give the GTM team more leverage