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 brand's 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 own the space between our customers and Engineering. As Technical Support Engineer, you take Tier 2+ escalations end-to-end: diagnose, resolve, close. You pull in engineers only when there’s a genuine product bug or infrastructure issue underneath — not as a default path.
You’ll work directly with the e-commerce brands running Siena’s AI agents across complex integration environments. You’ll sit within the Engineering org, report to our Support Manager, and collaborate with Engineering on the issues that actually require them.
What separates this from a senior IC support hire is what happens after the ticket closes. Every Tier 2+ resolution carries two follow-up questions you own:
1) Does this pattern belong back in Tier 1?
2) How do you build the system so the next instance never escalates, or reaches you faster?
Runbooks, auto-routing, observability access for the Support team — that’s the leverage this role is built to create.
When the Tier 2+ queue is quiet, you work Tier 1 tickets alongside the Support team, staying close to the volume that tells you what to systematize next.
The bar: diagnose it, resolve it, make the system better so it happens less often.
You take full ownership of Tier 2+ escalations. You diagnose and resolve without pulling in engineers unless there’s an actual product bug or infrastructure issue underneath.
You debug API integrations independently: auth failures, webhook issues, data sync gaps, rate limiting, intermittent failures, provider-specific limitations.
You diagnose and resolve customer-side JavaScript issues: widget behavior, event tracking, data passing, script conflicts, cross-browser bugs.
You triage AI and chatbot behavior — wrong answers, workflow misconfiguration, hallucination patterns, Custom Action misfires — tracing whether the issue is prompt, KB, workflow config, or model.
You run diagnostic SQL on data discrepancies, missing records, and report mismatches.
When the escalation queue is clear, you work Tier 1 tickets alongside the Support team, staying close to the patterns that tell you what to systematize next.
After every Tier 2+ resolution, you ask: can this move back to Tier 1? If a pattern can be handled by the Support team with a runbook or training, you move it back.
You build and maintain internal documentation for common failure modes, turning one-off resolutions into team-wide capability.
You scope and drive systemic improvements: auto-routing, observability access, tools that turn recurring manual tasks into repeatable systems.
You surface patterns, recurring bugs, and product gaps to Engineering systematically — not ad hoc.
You own complex technical issues directly with customers. You’re the technical face of Siena when depth is required.
You translate complex technical problems into clear explanations for customers and non-technical teammates.
You manage expectations confidently through multi-step debugging processes.
You escalate to Engineering only when an issue genuinely requires a code fix, infrastructure access, or schema migration.
You support customers integrating with Siena’s AI agents across Shopify, Gorgias, Zendesk, Kustomer, Gladly, and custom environments.
You troubleshoot LLM-based agent behavior, integration edge cases, and platform failures.
You use AI tools actively in your diagnostic workflow. You’re not just supporting AI products — you’re fluent in them.
You have 1+ year of technical support at a SaaS company. You’ve owned hard technical threads end-to-end, from customer report to closed ticket, without handing the thread to engineering.
You debug REST APIs, webhooks, auth flows, JSON, and HTTP protocols. You find the break and distinguish customer-side cause from product cause.
You’re fluent in customer-side JavaScript: browser devtools, event handlers, script conflicts, timing issues. You’re comfortable using AI coding tools like Claude Code to navigate unfamiliar codebases quickly.
You write diagnostic SQL to validate data, trace ingestion paths, and answer your own data questions without waiting on a data team.
You’re comfortable with production systems: logs analysis, monitoring tools, system debugging.
You have experience with LLMs, prompt engineering, or AI model integration.
You can triage AI agent behavior and distinguish a prompt/config issue from a model-level problem.
You’re familiar with how LLM-based systems fail: hallucinations, retrieval gaps, prompt sensitivity, workflow misconfiguration, Custom Action misfires.
You have experience with AI APIs (OpenAI, Anthropic, etc.).
Your written and verbal English is strong. You explain complex technical issues to non-technical stakeholders without losing them.
You build trust quickly. Customers feel like their problem is in capable hands.
Empathy and urgency coexist naturally for you.
You work independently in a remote environment with strong async communication.
You’re comfortable in ambiguity. You create structure where there isn’t any.
The leverage mindset is already a habit: when you talk about past wins, you naturally mention what you did so the next instance wouldn’t escalate — not just how you fixed the ticket.
You’ve coached or trained non-technical teammates. Pairing sessions, documentation that got used, concrete evidence of being a multiplier.
You're available to cover North America timezones
Engineers are no longer pulled into support escalations. Tier 2+ resolution is yours by default.
Tier 2+ resolution time baseline is established and surfaced.
You’ve mapped the most common technical failure patterns across the customer base.
At least one Tier 2 pattern has moved back to Tier 1 with a runbook the Support team is actively using.
You’ve built a working partnership with the Support Manager and are co-prioritizing what to systematize next.
Resolution time is measurably improving from the 90-day baseline.
CSAT on technical issues is improving.
Engineering is fully protected from support interruptions.
The feedback loop to Engineering is running systematically — patterns, bugs, and product gaps surfaced before things break loudly.
The Support team is resolving more independently. Your internal documentation covers the most common failure modes.
You’ve shipped at least one systemic improvement project: auto-triage, observability access, or equivalent.
You’ve supported AI or LLM-based products before: hallucination patterns, prompt sensitivity, retrieval-grounded responses.
You have a background in e-commerce or DTC and understand the merchant world: catalog, orders, fulfillment, returns.
You’re familiar with modern observability tooling: Honeycomb, Grafana, Splunk, Sentry, Kibana, or equivalents.
You’ve built internal tooling or automation to improve support workflows — a triage bot, runbook generator, custom dashboard, or anything that turned a recurring manual task into a repeatable system.
You’re fluent with Claude Code or equivalent AI coding tools. Your value is judgment about when to automate and how to verify output, not syntax recall.
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. They're direct about feedback—both giving and receiving it—because 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 that's 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. They've 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 other's AI workflows.
At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s 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 talent@siena.cx.
Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Siena AIBuenos AiresYou’ve shipped at least one systemic improvement project: auto-triage, observability access, or equivalent. You’re fluent in customer-side JavaScript: browser……15 d
WhitestackBuenos AiresEntender lo básico de redes desde el punto de vista de programación (interfaces, sockets, ports, etc) y tener experiencia en protocolos comunes, como TCP, UDP,……+ 30 d