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Conveo is the AI research platform enabling fast, affordable, and high quality consumer / B2B research. Global brands like Unilever, Google, and Orange use our AI video interviewer to generate insights across marketing, product, and research teams.
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
Automate repetitive GTM tasks: lead research, call prep, CRM hygiene, content personalization, outbound sequencing
Identify high-leverage automation opportunities across the GTM stack and ship them
The best GTM engineers don't just build for internal teams. They deploy solutions that shorten time-to-value for customers.
Build customer-embedded tools, onboarding automations, and integration workflows that drive activation
Work directly with enterprise accounts to prototype custom solutions that unlock expansion revenue
Create templates, starter kits, and self-serve tooling that reduce implementation friction
Translate customer feedback into product insights and internal tooling improvements
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
After 6-12 months:
You've built and shipped 5+ internal tools or automations that the GTM team uses daily, and they measurably impact pipeline or efficiency
Attribution and analytics pipelines are production-grade: leadership has real-time visibility into what's driving revenue
AI-powered workflows are saving the team 10+ hours per week on previously manual tasks
You've deployed at least one customer-embedded solution that accelerated activation or expansion for an enterprise account
The GTM stack feels like an integrated system, not a collection of disconnected tools
You've established patterns and frameworks that make it easy to ship the next automation in days, not weeks
At Conveo, you'll join a team that genuinely enjoys working, and spending time, together. We care about building real relationships, not just great products. That's why we run quarterly team offsites where we disconnect, reset, and have fun.
Own a role that directly compounds Conveo's revenue engine at a hyper-growth, YC-backed AI company.
Direct access to founders and senior leadership
Work with world-class enterprise clients (Unilever, Google, P&G, Orange, and more)
Build with the best tools: Claude Code, Supabase, modern TypeScript, LLM APIs
Hybrid working model with offices in London, Antwerp, and New York
Competitive compensation with meaningful equity upside
A culture built on taste, speed, ownership, and ambition
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Conveo is an AI-powered qualitative research platform that conducts and analyzes human conversations at scale, helping companies gather deeper customer insights than traditional surveys. It serves market researchers and product teams seeking nuanced, context-rich feedback.
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