Senior Platform Engineer, Conveo AI
AI Tooling & Infrastructure
$80-180k
+ Equity
3 days a week in office
AI-powered qualitative research platform for video interviews
Be an early applicant
AI-powered qualitative research platform for video interviews
21-100 employees
Be an early applicant
$80-180k
+ Equity
3 days a week in office
21-100 employees
Company mission
To power fast, robust decisions based on human input.
Role
Who you are
- 5+ years in a DevOps, SRE, platform engineering role
- Strong hands-on experience with CI/CD tooling (GitHub Actions, GitLab CI, or similar)
- Infrastructure as Code in production (Terraform, Pulumi, or equivalent)
- Solid cloud platform depth — AWS, GCP, or Azure. We value depth over breadth
- Containerisation and orchestration (Docker, Kubernetes, or similar)
- Monitoring and observability (Datadog, Grafana, Prometheus, or similar)
- Comfortable writing and shipping product code — you can open a PR on a feature, not just on infra
- Security-first instinct — you know compliance is designed in, not bolted on. Experience with SOC 2, ISO 27001, or similar is a strong plus
- You're energised, not threatened, by AI agents doing things you used to do manually — and curious about where the boundaries actually are
- You think in systems: good defaults, guardrails, and leverage. You'd rather make the safe path the easy path than police what people do
- Comfortable owning a domain end-to-end while staying closely collaborative — you know when to move independently and when to loop people in
- Excellent written and spoken English — you'll work directly with the CTO and across the engineering team
What the job involves
- The current/traditional research methods companies rely on are slow, expensive, and superficial. Running great research also requires expertise which is a blocker to many companies. That directly affects how well companies understand their customers and how well they can serve them
- You will join an extremely talented team of incredibly passionate, high-energy people. We go the extra mile while having the best time of our lives. Our team has the combination of decades of market research knowledge, incredible engineering ability, and experience building companies
- We truly care about our clients and the problem we solve. That means we humbly go the extra mile every time
- Our engineering team talks directly with our customers. No layers in between
- We work hard and we have fun
- To keep our quality bar incredibly high, we want to execute with the smallest possible team
- This is not a pure infrastructure role
- We're looking for someone who is equally comfortable hardening a Kubernetes cluster, opening a PR on a product feature, and building internal tools that enables and support the product and engineering function — and who sees these activities as part of the same job
- As a Senior Platform Engineer, you'll own the infrastructure and deployment platform that powers Conveo's AI research product
- But you'll also shape how the engineering team builds — establishing the AI toolchain, workflows, and guardrails that let engineers move fast with agents and automation without flying blind
- You'll work alongside an experienced infra engineer who's already laying the groundwork, and together you'll build systems that are fast to ship on, safe to operate, and designed to get smarter over time
- This is a high-impact role
- There's already a foundation to build on, and you'll take it to the next level — shaping how Conveo builds, deploys, and operates at scale
- As we grow from 8 to 18+ engineers this year, you'll ensure our infrastructure keeps pace with the team and our customers
- You'll work closely with the CTO and the engineering team to balance speed with reliability, and you'll have real influence over our technical direction
- Design, build, and maintain CI/CD pipelines for rapid, safe deployments with rollback capabilities
- Codify and manage cloud infrastructure using Infrastructure as Code (Terraform, Pulumi, or similar)
- Own observability end-to-end — monitoring, logging, alerting — so the team has full visibility into production health
- Establish and improve incident response processes as we scale
- Ensure infrastructure practices meet SOC 2 and ISO 27001/27701 compliance requirements by design, not as an afterthought
- Improve the day-to-day experience of shipping — local environments, tooling, review cycles, deployment ergonomics
- Contribute directly to the product where it matters: you're as comfortable with a feature branch as a Terraform plan
- Work with engineering leads to define and maintain standards as we grow from 8 to 18+ engineers
- Standardise the engineering team's AI toolchain — model access, coding agents, MCP servers — so everyone operates from a shared, supported baseline rather than ad hoc setups
- Build and maintain reusable agent workflows and prompt libraries that encode engineering knowledge and compound over time
- Implement the guardrails and tooling controls that translate AI policy into practice — sandboxing, approved integrations, safe defaults — so engineers don't have to think twice about whether they're operating safely
- Evaluate and integrate new AI tooling as the ecosystem evolves, running adoption sprints that keep the team at the frontier without accumulating risk
Salary benchmarks
Our take
Qualitative research has long been one of the most valuable (and painful) parts of building products and brands. It's slow, expensive, and often skipped altogether, leaving teams to make big decisions without full insight. There's a massive market for better customer understanding and it's only growing, yet traditional methods just aren't keeping up. So, Conveo is stepping in to change that.
It's doing so by acting as an AI-powered research coworker. Instead of weeks of planning, scheduling, interviewing, and analysis, teams can run hundreds of AI-moderated video interviews overnight, and in over 50 languages. The impact of this is huge, saving days or even weeks of work and surfacing insights humans might miss. And crucially, every insight links back to the original transcript, so researchers can trust and verify what the AI finds.
What's especially impressive is how quickly Conveo is gaining momentum. Despite being pretty new to the scene, the company has already raised $5.3M in seed funding. This early traction and a clear vision for what's next (from multimodal interviews to long-term knowledge analysis), positions Conveo as more than just a promising startup.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2025
$5.3m
SEED
Nov 2024
$0.2m
SEED
Total funding: $6m
Company benefits
- Equity
- Every relevant benefit to love working here
Company HQ
Antwerpen, Antwerp, Flanders
Articles
Leadership
Dieter De Mesmaeker
(Co-Founder & CEO)Alongside Conveo, Dieter is the co-founder of DataCamp, where he served as the CTO for nearly 10 years.
Hendrik Van Hove
(Co-Founder & CPO)Prior to co-founding Conveo in 2024, Hendrik was a Consultant at McKinsey & Company and an Investment Banking Analyst at Morgan Stanley. He also spent 3 years at BRIKS as an Investor, Head of Corporate Relations, and President.
Florian Hendrickx
(CGO)Florian is also a Founding Member of Syndicate One. Previously, he was the CGO of Aikido Security and Robovision and also worked in Strategy & Analytics at Deliverect.
Maarten Claes
(CTO)Maarten joined Conveo AI as a Founding Engineer in 2024 before becoming CTO in 2025. Previously, he was the CTO of Inflights, a Director of Engineering at Farmgirl Flowers, and an Engineering Manager at DataCamp.
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