Senior/Staff+ Software Engineer

Senior/Staff+ Software Engineer

Build the systems that scale video advertising on the open web. Get the workflow right first, then use AI to help it run.

Most ad budgets flow to a few closed platforms for one reason: they make it easy. Buying video on the open web should be just as

easy. At SeenThis, we're turning years of hands-on campaign delivery into products that automate the right work while keeping

people in control.

This is a senior-to-staff+ role for engineers who can take real product problems from ambiguity to production. You'll work across

distributed systems, product workflows, LLM-powered automation, and the operational details that make the whole thing reliable at

scale.

The open web has massive untapped advertising potential, but video has historically underperformed here. SeenThis is changing

that. As a video advertising partner, we prove the open web delivers exceptional results, capturing more attention with

cost-effective video that keeps publishers profitable and the internet independent. Since 2017, we've served billions of streams

for 5,000+ brands across 50+ countries. We believe brands deserve reach wherever audiences are, publishers deserve sustainable

revenue, and the internet deserves to stay open.

Our team of 130+ employees works globally from offices in Stockholm, Oslo, London, Paris, Singapore, Hong Kong, New York, and

Sydney. We're expanding across all teams and constantly seeking new colleagues who want to make real impact in a fast-moving,

collaborative environment where innovation happens daily.

Do you want to be part of our journey, where we dare to discover, own it, and win together?

Join SeenThis!

You'll join our R&D org to own problems end to end with your team. We re-team when it makes sense and work across the portfolio,

so this role is not locked to one product area. Where you start, and where you grow next, depends on your strengths, interests,

and where the business needs senior ownership most.

Core Tech. The streaming, delivery, and measurement technology at the foundation of everything we do, handling billions of events

a day.

Studio. Our creative production tool, where teams build, adapt, and launch campaigns, and the engine behind our own managed

production.

Creative Manager. The orchestration layer and system of record for media plans, orders, approvals, creative delivery, and

reporting.

You'll work in a small team of peers: flat, fast, close to customers, close to the model, and serious about quality. You own

problems, not tickets, and you own them together. We measure ourselves on whether what we ship changes behaviour.

We're hiring across senior to staff+ level. The level follows your experience and the scope you're ready to own, and we calibrate

it with you.

Applied AI is central to the role, but it comes second on purpose. We get the product and workflow right for people first, with

solid engineering and a strong human-in-the-loop experience. Then we apply AI to automate the work, one proven step at a time. The

goal isn't to add AI for its own sake. It's to build systems where the product handles more of the work, people set intent, review

exceptions, and stay in control.

Agents can now take on a meaningful share of implementation work, which changes the job. The value is in judgment: framing the

problem, setting the guardrails, and knowing what good looks like, so you can tell solid work from a confident mistake. We already

build this way, with agents on most tasks through Claude Code and Codex, in-house skills that teach them our conventions, and an

AI reviewer on every pull request.

• Take a problem from discovery through to something shipped and working, with your team, and stay with it through launch and the

iteration after.

• Own the full lifecycle: design, build, ship, operate, and iterate. Weigh tradeoffs in the open, make the architectural calls,

and bring peers with you.

• Design systems that scale: distributed services where a dropped or double-counted event becomes a billing error, with the

observability and operational care to keep them healthy.

• Build AI into real product workflows: evals, guardrails, tracing, human-in-the-loop review, and the state and tool contracts

behind agents that hold up in production.

• Staff+ level: you've led ambiguous, multi-month technical problems, made strong architectural calls, and brought others with

you.

• You have very strong engineering fundamentals. You design distributed systems that scale, weigh tradeoffs, and instrument for

observability.

• You have full-stack range. We build in TypeScript and Node, but fundamentals matter more than the stack. You pick up what the

problem needs.

• You've shipped LLM or agent features in production, beyond basic prompting: tool use, retrieval, orchestration, evals, and

guardrails. You have an intuition for where models are reliable and where they need constraints, review, or another approach

entirely.

• You already work AI-native: you direct agents, judge their output, and build your own tooling, while still being able to reason

through a problem and debug without them. We'll ask for concrete examples of how you work this way.

• The platform layer behind an AI product: the orchestration, eval infrastructure, and tracing that other engineers build on, not

only the features on top.

As we review applications and interview on a continuous basis, please apply as soon as possible. Due to the high volume of

applications received, we are unable to provide personalized feedback prior to the interview stage. Thank you for understanding!

Please note: we're in our summer holiday period. Response times may be a little longer than usual, and we will get back to all

candidates with feedback once the holiday period is over. Thank you for your understanding and patience!