Jobs · Information Technology · California

Staff Software Engineer

Altana · San Francisco, CA · 1 mo ago
Information Technology$175k–$230k/yrFull-time

About the role

The Engineering team at Altana is responsible for building the AI-powered product network that empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. As a Staff Engineer, you will lead the team in developing products that customers actually adopt, not just products that ship.

Responsibilities

  • Spend real time with customers, sitting alongside them in their workflows to understand where they get stuck and translate that into product bets.
  • Partner with the product team to decide what to build, forming hypotheses about customer value and designing the smallest experiments to prove them out.
  • Build AI-native by default, using LLMs, agents, evaluations, and modern AI tools as first-class building blocks in your stack.
  • Own end-to-end outcomes, from the first customer conversation to telemetry on the dashboard six months later, including the architecture and instrumentation choices that make that telemetry meaningful.
  • Set the technical bar for your team, reviewing designs and code with a high standard for quality, simplicity, and customer impact, and a low tolerance for engineering work that can't be traced back to a customer outcome.
  • Mentor engineers in customer-centric, hypothesis-driven product development, helping them build the instincts to talk to users, run experiments, and tell when a feature is done because it's loved, not because the ticket is closed.
  • Drive technical decision-making with a bias toward shipping, choosing practical, iterative designs that get a working version in front of customers fast, then evolving them as you learn.

Requirements

  • Deployed production code and services to cloud-hosted environments.
  • Demonstrated experience delivering incremental releases from proof-of-concept to MVP to production.
  • Self-starter with demonstrated experience working on large, complex problems.
  • Care deeply about engineering excellence, clean code, and knowledge-sharing.
  • Strong written and verbal communication skills.
  • Experience leading other engineers on complex projects.

Qualifications

  • Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe).
  • Experience with container technologies like Docker and Kubernetes.

Skills

  • Fluent in “did this land?” as much as “is this maintainable?”
  • AI-native by default, making principled choices about where AI changes the product equation and where it doesn’t.
  • Ownership of end-to-end outcomes, from the first customer conversation to telemetry on the dashboard six months later.
  • Practical, iterative designs that get a working version in front of customers fast, then evolve them as you learn.

Benefits

  • Competitive salary range of $175,000 - $230,000 USD.
  • Discretionary bonus or variable compensation plan.
  • Top-tier benefits including flexible time off, parental leave, health benefits, commuter benefits, wellness programs, and pet insurance.
  • Guideline 401(k) retirement savings program.
  • Employee Assistance Program.
  • Dependent Care FSA.

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