Treasure AI:

Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through continuous, context-driven action.

Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.

Your Role:

As a Senior Engineer on our team, you will contribute to end-to-end delivery of projects that span our Ruby on Rails API and the data platform integrations that power our CDP. Initial work is backend-leaning — shipping API capabilities, evolving our relational data model, and integrating with OLAP/CDW surfaces (e.g. BigQuery, Databricks, Snowflake) — with a clear growth path into full-stack ownership and agentic development practices as you ramp.

We don't expect senior-level output on day one. Our expectation is that after an onboarding ramp of several weeks to a month and a half, you'll be contributing at a senior rhythm — scaling linearly as you internalize our systems and domain. That means leading or supporting the design and execution of meaningful projects, communicating trade-offs through written artifacts, mentoring peers through review and pairing, and raising the quality bar of the code and systems around you. You'll collaborate across time zones with product, design, and adjacent engineering teams to deliver customer-facing functionality that is safe, observable, and easy to evolve — including by AI assistants.

Responsibilities:

• Act as if you're responsible for the success of every project you're on, regardless of whether your role is lead or support. Contribute meaningfully across the full lifecycle — problem framing, design, implementation, rollout, and post-launch iteration.
• Contribute to technical decisions through written artifacts — design docs, RFCs, and wiki pages that make rationale legible to current and future engineers. Lead the writing when the project calls for it; strengthen others' artifacts when it doesn't.
• Help the team plan and forecast over the next couple of sprints: break work into sequenced deliverables and surface risk and progress clearly.
• Support teammates' growth through pairing, design review, and code review, and look for opportunities to raise the team's quality bar.
• Proactively identify issues in your own work and adjacent work: flag requirement gaps, surface design risks early, and course-correct before problems compound.
• Apply risk-reduction techniques by default: make invalid states unrepresentable, prefer safe-by-default APIs, instrument for observability, and keep a single source of truth for shared data.
• Deliver tech talks, give feedback on peers' designs, and contribute to the team's shared knowledge base.
• Write code that is easy for both humans and AI assistants to read: with clear module boundaries, honest names, and thorough tests.

Job Requirements:

We prioritize architectural and theoretical soundness over deep hands-on familiarity with any specific framework. AI assistants are highly capable at implementing well-specified work; our filter is judgment that can direct them to the right implementation.

General

• 5+ years of professional software engineering experience, with demonstrated senior-level impact on non-trivial systems.
• Demonstrated, articulable AI-assisted development workflow. We're tool-agnostic (Claude Code, Cursor, Copilot, and similar are all fine), but we expect you to speak fluently about how you manage context, plan and delegate to agents, verify output and catch regressions, keep your own judgment sharp as you move faster, and choose the right model or tool for