Product Engineer – Data & AI

🔥 0 minutes ago

🌪️ Kansas – Remote

🌪️ Kansas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Sifted

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🤝 B2B

💰 Private equity on 2018-02

SaaS • B2B

Sifted is a parcel spend management platform that helps shippers connect to carriers, analyze every invoice, and automate manual billing, reconciliation, and reporting processes. The platform provides continuous monitoring of carrier changes, contract and surcharge compliance, refund recovery, scenario modeling, and carrier performance analytics, and includes SiftedAI Copilot as an always-on logistics analyst to surface savings and recommendations. Sifted targets enterprise and mid-market B2B shippers, retailers, manufacturers, 3PLs and finance teams to reduce parcel spend and increase visibility across multi-carrier operations.

📋 Description

• Build and maintain the data pipelines, automation, and product features that shippers and 3PLs depend on • Partner with product, operations, domain experts, and customers to define problems and validate that what you build actually solves them • Own problems end-to-end — from understanding the business need through designing, building, shipping, and supporting the solution in production • Write and own your own tests and data-quality checks, catching correctness issues before they reach customers • Use AI and automation to accelerate how you build, while verifying and standing behind everything you ship • Work across the stack — data, backend, and the customer-facing surfaces — going wherever the problem leads

🎯 Requirements

• Experience with a modern cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) and its transformation tooling (e.g. dbt)* • Demonstrated success implementing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins, BitBucket pipelines) • 3+ years of professional experience in software engineering or data engineering • Designed or managed data pipelines handling millions of records daily • Proven experience gathering requirements and working directly with stakeholders* • Experience deploying and maintaining systems in cloud environments (AWS, Azure, or GCP) • Demonstrated ability and willingness to embrace AI as a core tool for problem-solving and innovation

🏖️ Benefits

• Best-in-class compensation package • Unmatched comprehensive benefit program • Flexibility to achieve and accomplish results • Extremely collaborative work environment across teams to drive results • Culture is built on how we improve people’s lives