Product Engineer

Job not on LinkedIn

🕒 August 14

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 17%

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Logo of Talent Inc.

Talent Inc.

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Talent Inc. is a career development company focused on helping individuals enhance their job-seeking process and career progression. They provide a range of services including professional resume building, cover letter creation, and career coaching to assist clients in landing their desired positions. Their platform offers tools such as AI career assessments, job application automation, interview preparation, and salary negotiation assistance to support users at various stages of their career, from students and early career professionals to executives looking to make a significant career change.

📋 Description

• Own the full lifecycle of features and products across the consumer platform, including Career.io, Resume.io, and adjacent surfaces • Serve as product owner, designer, and engineer for the assigned domain • Build front-end UI, back-end services, and product instrumentation • Ship continuously and safely using AI tooling while maintaining quality, security, and maintainability • Define measurable success criteria, monitor metrics, and iterate or discontinue work based on data • Collaborate directly with strategy, design, and engineering colleagues • Make product decisions for ambiguous problems and defend prioritization choices

🎯 Requirements

• Proven full-stack ability across modern front end, backend services, and data • Experience with TypeScript/React or equivalent front-end technologies • Ability to ship features end to end without handoffs • Track record of shipping products end to end, including ownership of scope, tradeoffs, and results • Existing meaningful experience using agentic AI tools such as Claude Code and Claude Design • Ability to demonstrate real work where AI tooling materially multiplied throughput • Strong product judgment in ambiguous situations • Ability to define, instrument, and interpret metrics • Ability to balance speed with quality and maintainability • Authorization to work for any US employer • Nice to have: familiarity with careers, hiring, resumes, marketplaces, or high-traffic consumer products • Nice to have: familiarity with AWS, Kubernetes, infrastructure as code, and modern data tooling • Nice to have: public body of work such as shipped products, open source, writing, or side projects

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