Software Engineer

This role is eligible for our hybrid work model: Two days in-office. 

Software Engineer

As a Software Engineer on this team, you will operate across a wider surface than a typical product role. In a given quarter you might embed with a product squad as a forward-deployed engineer to build a custom automation that saves them hours a week, build a shared internal tool that generalizes that automation for everyone, and build the measurement layer that shows where our tools and AI are creating value and where they aren't. Some work is embedded and forward-deployed; some is building shared platforms centrally; some is the measurement layer underneath. You'll move between those modes as the work demands.

We are looking for engineers who want to build products for other employees — energized by being close to a real problem, shipping something that removes it, and then making that solution reusable. Whether your background is in backend, full-stack, data, or platform engineering, we value a builder's instinct and a measurement mindset in equal measure.

This is a deliberately unsettled space, and that's the point. Applied AI and internal-tooling use cases evolve constantly — what's high-leverage this quarter may not be next. We have a strong point of view on why this team matters and what to chase first, but the specific bets are an evolving canvas, shaped in collaboration with teams across the business. That openness is real opportunity, not ambiguity for its own sake.

Why this job’s a big deal: 

We are growing the Employee Tools & Automation team — dedicated to making every Priceline employee measurably more effective with tools, including AI. 

We treat internal productivity as an engineering problem, not a training problem or a procurement problem.

This team does three things that reinforce each other:

• We build internal tools, automations, and AI-augmented workflows that take toil out of how Priceline works.

• We embed with teams often acting as forward-deployed engineers, sitting close to a real workflow, building the custom automation that solves it, then generalizing what works into something every team can use.

• We measure what our tools and AI are actually doing across the org, including but not limited to: spend, adoption, and the first honest signal on whether our investment is paying off.

These reinforce each other. Being close to teams is what tells us which tools to build and what the usage data actually means. The tools we build generate the signal. The signal tells us where to focus next. We are not a dashboard team — we are the engineering team that turns "everyone's experimenting in pockets" into leverage the whole org can rely on.

In this role, you will get to:

Forward-Deployed Engineering & Applied Automation

• Embed with product and engineering teams to understand a real workflow, then build the custom automation, integration, or AI-augmented tool that removes its friction.

• Build agentic and LLM-powered workflows that automate toil — log analysis, repetitive multi-step processes, content generation, data wrangling — where they create real, measurable leverage.

• Generalize one-off solutions into reusable internal tools and templates so a win for one team becomes a win for every team.

• Act as a hands-on partner to teams adopting new tooling, lowering the barrier from "interested" to "productive."

Internal Tools & Platforms

• Design, build, and operate internal tools and beta platforms that improve how employees work — authoring experiences, automation surfaces, and integrations across the tools Priceline already uses.

• Integrate with the AI vendor ecosystem (Claude, Cursor, and others) and internal systems to build workflows that span tools rather than living inside one.

• Prototype and evolve beta tooling rapidly, then harden what proves valuable into supported platforms.

Measurement, Spend & Applied-Usage Signal

• Build the data pipelines that aggregate and normalize tool and AI spend and usage across vendors, attributed by team (POM team) — turning a fragmented vendor picture into one honest view.

• Build the measurement layer that begins to correlate adoption with real outcomes — a first, intellectually honest step toward an ROI signal the org does not have today.

• Provide the spend and efficiency signal that downstream programs (including the agentic engineering platform) depend on, without overclaiming what the data can prove.

Engineering Standards & Reliability

• Build telemetry and observability into the tools you ship, so usage and value are measurable by design rather than guessed at.

• Maintain reliability and a high signal-to-noise bar — internal tools that teams depend on have to work.

• Define reusable patterns and reference implementations so the team's output compounds over time.

Who you are: 

• 3.5+ years in a software engineering role, with a track record of shipping and owning workstreams independently.

• Proficiency in one or more languages (TypeScript, Python, Java, Go, or similar) and a willingness to work across the stack.

• Experience building shared frameworks, internal tools, or platforms used by other engineers or teams.

• Experience integrating systems via APIs and building data pipelines or integrations across multiple sources.

• Systems thinking: you don't just want to solve one team's problem — you want to build the tool that solves it for everyone.

• A measurement mindset: healthy skepticism about correlation vs. causation, and the instinct to instrument what you build so its value is visible.

• Strong collaboration and communication — forward-deployed work means embedding with teams, understanding their problems, and earning their trust.

• Illustrated history of living the values necessary to Priceline: customer, innovation, team, accountability, and trust.

• The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics are essential.

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