You’re customer-obsessed: You want to live close to real users and real problems. You get energy from turning “this is painful” into “this is fixed.”
You’re a builder who ships: You don’t just advise or prototype. You deliver working solutions that run in production.
You thrive in ambiguity: Early-stage means unclear requirements, moving targets, and learning as we go. You can still make progress fast.
You’re relentlessly pragmatic: You’ll make smart tradeoffs to get value out quickly, then iterate once we know what matters.
You’re technical and versatile: You can jump across codebases, APIs, data, infra, and integrations. Whatever the bottleneck is, you go there.
You communicate clearly: You can translate between customer context and engineering reality without losing nuance (or patience).
You’re efficiency-obsessed: You automate repetitive work, reduce manual steps, and shorten time-to-value for customers.
You use AI as leverage: You use AI tools to speed up debugging, integration work, scripting, docs, and iteration—while owning correctness and security.
What the job involves
Work directly with customers: Understand their workflows, constraints, and goals. Help them succeed with Alguna, fast.
Build forward-deployed solutions: Ship integrations, custom workflows, data pipelines, and product extensions that unlock customer value.
Close the loop back into the product: Turn repeated customer needs into scalable product improvements and reusable patterns.
Be reactive (in a good way): When something breaks or a customer is blocked, you jump in, triage, fix, and communicate clearly.
Own implementations end-to-end (the fun kind): From “wait, what do you actually need?” → design → build → deploy → monitor → iterate. If it’s flaky at 2am, you’ll care.
Create paved paths: Build templates, tooling, docs, and automation so the next customer goes live faster than the last.
Partner cross-functionally: Work tightly with engineering, product, and customer success to prioritize, scope, and ship.
What success looks like
Customers get to value quickly and stick around because things just work
Repeated customer work turns into reusable, scalable product capabilities
The team gets faster over time because you remove friction and build “paved roads”
You reliably take messy real-world problems and turn them into shipped outcomes
