Siena Platform Experience Engineer
Buenos Aires - Argentina
Department:
Job Summary
Siena is the Agent of Record for consumer brands. One agent that owns the entire customer journey running on a shared intelligence layer no point tool can replicate.
Consumer brands run ten or more disconnected tools to manage their customers. We collapse that stack into a single agent. It started with support the hardest surface a brand has and it expands from there: Shopping Agent Social Agent Siena working alongside a brands own operators. One agent across every surface with shared memory shared context and shared tools.
Hundreds of brands already run real customer volume on Siena in production. This is built working and growing and we are racing to build what comes next.
We are a small fully distributed global team. We have built leverage into how we work which is what lets a team this size move at the speed we do.
We hire athletes. Everyone here owns real outcomes defaults to writing over meetings communicates with directness and acts the moment they see something worth acting on. Low ego high standards fast clock.
If you want to own real problems rather than close tickets keep reading.
You take the hardest problems our customers hit in production and solve them end to end. A webhook that stopped firing overnight. An agent filling the wrong parameter. A report that wont reconcile. Today those land on a product engineers desk and pull them off the roadmap. That stops with you.
More than troubleshooting. You find the real cause work the customer directly to a resolution (including jumping on a call when thats fastest) then build the automation so it never comes back.
Youre an accelerator. Every fix makes the next one faster and the product better.
A clear path forward. This is the front door to deployment and platform work at Siena. Grow from here into a Forward Deployed Engineer or deeper into platform engineering.
You solve problems end to end. Given a customer some logs and a vague symptom you find the break and tell a customer-side cause from a product bug. You dont stop at its not our bug.
You like talking to customers. Youll get on a call find the real problem behind the report and resolve it live. Customer contact is leverage not a chore.
Youre excited to build automation. The fix in front of you is half the job. Building the thing that means nobody fixes it again is the other half. You think in leverage. This is the signal that matters most.
Youre fluent with AI agents and prompts. Youve built or debugged LLM workflows and know how they break: prompts knowledge bases intent classification retrieval and the gap between what passes in test and what runs live. You can read a prompt spot why it misfires and rewrite it. No black boxes.
You read and reason through code. Youre comfortable in our core stack TypeScript React Express or close enough to ramp fast. You can trace customer-side JavaScript in the browser write diagnostic SQL against PostgreSQL and navigate a backend service without waiting on someone else.
You use AI coding tools as leverage. Fluent with Claude Code or equivalent to script a query clean a dataset or navigate a new codebase fast. Judgment about when to automate not syntax recall.
You own problems nobody assigned you. Youve worked where the process didnt exist yet found something broken and driven it to a fix.
You make people around you better. You leave teammates more capable through docs tools and walkthroughs.
Nice to have: observability tooling (Grafana Honeycomb Sentry); internal tooling that turned manual work into a system. Ecommerce or DTC exposure is a plus not a requirement.
Own the hard problems end to end. Trace reproduce fix or hand engineering a clean reproduction. Range across APIs and integrations customer-side JavaScript agent behaviour and data. Get on the call when thats the fastest path.
Debug the agents and the prompts. Diagnose whether a wrong answer or misfire is prompt knowledge base config or model then fix the prompt or setup so it holds under real traffic.
Build so it doesnt happen twice. For every fix two questions you own: can the team handle this next time with a runbook or tool and what do we build so the system catches the next one. This half compounds.
Close the loop to Product. Youre the structured metrics-backed signal between what customers hit in the wild and what we build next. Surface patterns not one-offs. Make the product measurably better.
Raise the teams floor. Lift what the whole team can resolve instead of being the only one who can.
Know where your scope ends. Escalate genuine product bugs infra and outages with a clean reproduction not a shrug.
The point of this role isnt closing tickets faster. Its that the product visibly gets better because youve killed the root cause of recurring problems. Resolution is the floor. Product quality is the win.
By 90 days: youve named the top recurring failure patterns and youre attacking them at the root not patching symptoms. At least one class of problem is fixed in the product itself not just resolved ticket by ticket so it stops showing up at all. Resolution is handled without pulling engineers off the roadmap but the real signal is fewer problems existing in the first place.
By 6 months: recurring issue classes are measurably down because the root causes are gone the product is demonstrably more robust and your feedback loop to Product is shipping real improvements. The team resolves more on its own because the system catches the next one not heroics.
Real ownership. You will own problems not tasks with the autonomy to solve them your way and the trust to do it without a manager in your inbox.
Work that ships and matters. What you build reaches real consumer brands fast.
A category we are creating. The Agent of Record is new ground with unsolved problems and cutting-edge models not a crowded field to compete in.
A team that respects your judgment. Globally distributed async-first low bureaucracy. We hire adults and treat you like one.
Great salary plus equity or stock grants. Own a piece of what you build.
Learning budget. If you are growing so are we.
AI-fluency by default. Few places will push your work with production AI further or faster.
The people who thrive here are curious customer-obsessed and take ownership without being asked. They fix problems first and explain later. Theyre direct about feedbackboth giving and receiving itbecause they care more about getting things right than being polite.
They maintain high standards while moving at startup speed and they build real relationships with teammates because they know thats how great work gets done. When things get tough they adapt and keep pushing forward.
The people who thrive here treat AI like a natural extension of themselves. Theyve built their own ecosystem of agents - some for research others for debugging writing analysis or writing code. They know which AI works best for what problem.
Everyone gets premium accounts (ChatGPT Claude Perplexity Pro Cursor Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each others AI workflows.
At Siena were not just looking for people who can do a job. Were looking for people who want to break boundaries create the future and reshape industries. If thats you we look forward to your application.
We use AI-assisted screening tools as part of our hiring process. All decisions are made by humans. You can request a human-only review at .
Required Experience:
IC
About Company
PostHog is the only all-in-one platform for product analytics, feature flags, session replays, experiments, and surveys that's built for developers.