What they do: AI-led end-to-end qualitative research platform (AI-moderated video/voice interviews, transcription/translation, multimodal analysis)
Founded: 2024 (Antwerp, Belgium)
Team size: ~29 employees
Funding: $5.95M reported total funding
Investor signals: Y Combinator, Pitchdrive, Syndicate One
Company Overview
Problem Domain
Market & customer insights / qualitative research automation
Founded
2024
Industry
Market research / AI
Funding Track Record
Pre‑Seed- 2024-06-18
Reported pre‑seed round in mid‑2024
Seed- 2025-03-06
$5.3M
Reported $5.3M seed round in early 2025
Investor Signal
“Y Combinator; Pitchdrive; Syndicate One”
Founders
What we do
Join the Team
GTM Engineer
On-SiteLondon, New York, GB
On-Site • London, New York, GB
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Who you are
2-5 years of experience writing production code in TypeScript/Node.js, Python, or similar. You can build and ship a full-stack app end-to-end
Hands-on experience with Supabase, Firebase, or equivalent (Postgres, serverless functions, auth, storage)
Demonstrated experience building internal tools, automations, or data pipelines that had measurable business impact
Comfort with LLM tooling and AI workflows: you've built with Claude, GPT APIs, or similar, not just used them
Working knowledge of the modern GTM stack: CRM (HubSpot), analytics (GA4/GTM), marketing automation, and API integrations
Strong communication skills: you can explain technical trade-offs to non-technical stakeholders and translate business problems into technical specs
High agency, low ego: you see what needs to happen and you make it happen
Builder mentality: you'd rather ship a working prototype than write a spec about it
Commercially minded: you measure your work in business outcomes (pipeline, activation, FTEs saved), not lines of code
Speed over perfection: you ship fast, learn, iterate. You know when "good enough" is the right call and when it isn't
Resourceful: you can figure out any API, debug any integration, and learn any tool in a weekend
Experience in a forward-deployed engineering, solutions engineering, or GTM engineering role at a high-growth startup
Familiarity with enterprise SaaS sales cycles and customer-embedded delivery
Experience with data visualization and reporting tools (Plotly, Recharts, custom dashboards)
Background in market research, consumer insights, or B2B SaaS
Open-source contributions or a portfolio of shipped side projects
What the job involves
Benefits
Equity
Every relevant benefit to love working here
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Conveo is scaling from 20x revenue in 2026. That kind of growth doesn't happen with manual processes and duct-taped spreadsheets. We need someone who can code, ship, and iterate on the internal tools and automations that make our GTM team dangerously effective
Today, our GTM team runs on a patchwork of SaaS tools, manual workflows, and tribal knowledge. The opportunity: replace that with purpose-built apps, pipelines, and AI-powered workflows that compound over time
Think lead scoring models that learn, attribution pipelines that actually work, onboarding flows that activate customers faster, and AI agents that eliminate hours of manual work every week
This is not a traditional ops role. You write code. You ship apps. You build with tools like Claude Code, Supabase, Node/TypeScript, and modern APIs. You sit at the intersection of engineering and GTM, and you measure your work in pipeline generated, FTEs automated, and activation lift delivered
This role reports to the CGO (Florian) and works in close partnership with Sales, Marketing, Customer Success, and Product Engineering
You don't configure off-the-shelf tools. You build what doesn't exist yet, fast, and iterate based on what the team actually needs
Build and ship in-house applications using Supabase (Postgres, Edge Functions, Auth, Storage), Node/TypeScript, React, and Python
Create customer-facing and internal dashboards, portals, and workflows that eliminate manual work
Prototype rapidly: go from problem to working POC in days, not weeks
Own the full stack of your builds: data model, backend logic, frontend, deployment, and iteration
Every dollar of pipeline should be traceable. You build the infrastructure that makes that possible
Build and maintain analytics and attribution pipelines (GA4, GTM, CRM integrations, event tracking)
Connect the dots across tools: HubSpot, Intercom, Slack, Google Calendar, Supabase, and custom APIs
Create reporting dashboards and automated alerts that surface what matters to Sales and Marketing leadership
Design lead scoring and qualification models that improve with every cycle
AI is not a buzzword here. You ship real LLM-powered workflows that save hours and improve outcomes
Build AI agents and automations using Claude Code, LLM APIs, and orchestration frameworks
Create prompt pipelines, evaluation frameworks, and feedback loops for AI-assisted workflows
