Internal AI Product Engineer

refurbed

Internal AI Product Engineer driving AI tool design and strategy at refurbed, enhancing productivity through innovative internal systems. Collaborating across teams to integrate AI-driven solutions and automating workflows.

Posted 5/19/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

GoGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Lead the design and delivery of AI-powered internal tools and systems that enable refurbed to operate as an AI-native company under our AI & Tech Transformation program.
Act as a product-minded senior back-end engineer for internal AI across teams to identify opportunities, architect solutions, and directly build the back-end services and integrations that embed AI and automation into how employees work.
Partner closely with the Head of Internal Technology & AI on strategy, planning, and execution while providing technical leadership to teams, working closely with core platform Engineering for support.
Measure success in this role by productivity improvements, enabling new capabilities, and adoption of AI tools and new ways of working across the company.

Requirements

What you’ll need

Proven track record as a senior/staff back-end engineer with hands-on experience building production systems in Go, Python, or similar; comfortable designing for scale, reliability, and cost on GCP.
Experience building AI/LLM-powered systems in production - from prototyping with model APIs through deployment, observability, and iteration.
Strong product instincts in the classic PM sense - has owned a product area end-to-end with discovery, PRDs, roadmap, success metrics, and measurable outcomes; not just 'used AI tools as a backend engineer'.
Stakeholder management across senior leaders and department teams; able to align people around trade-offs and unblock cross-functional delivery.
Comfortable balancing IC engineering work with technical leadership: setting direction, reviewing designs, and mentoring others without losing hands-on fluency.
Deep, practical fluency with modern AI tooling and active engagement with the fast-moving ecosystem - has worked extensively with multiple coding assistants (e.g. Claude Code, Codex, Cursor), knows how to structure, build, and install skills/plugins/marketplaces, can design and integrate MCPs, and works fluently with subagents and agent harnesses; able to make informed build vs. buy trade-offs.

Benefits

Comp & perks

Access to a dedicated learning budget within your department to support your growth, whether it's courses, conferences, or other learning opportunities that matter to you.
Partner with Likeminded, offering you private sessions with experts for your personal growth and mental health.
Frequently host internal workshops, allowing our teams to further develop their skills in different areas and enhancing collaboration across departments.
Flexible work arrangements.
Fully remote setting with the possibility to work from a beautiful office in Vienna.

ATS Keywords

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Hard Skills & Tools

GoPythonAI systemsLLM-powered systemsproduction systemsGCPobservabilityprototypingtechnical leadershipdesign for scale

Soft Skills

stakeholder managementproduct instinctscross-functional deliverymentoringalignmenttrade-off analysishands-on fluencydirection settingdesign reviewingunblocking