Staff Product Engineer, Enterprise AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of Thunderbolt product features from their initial concept through to launch, adoption, and ongoing iteration.

• Convert product vision, user requirements, partner insights, and enterprise needs into actionable technical plans and delivered product experiences.

• Collaborate across the stack to develop, integrate, test, and deploy comprehensive product features.

• Create AI-driven chat, search, research, workflow automation, administration, integrations, and enterprise workflow functionalities.

• Work alongside product, design, engineering, enterprise-facing teams, and contributors from the open-source community.

• Partner with senior technical leadership to translate technical direction into actionable product initiatives.

• Utilize AI-assisted development tools while ensuring quality, security, maintainability, and reliability are upheld.

• Make informed technical and product decisions in uncertain circumstances.

• Analyze usage, feedback, support signals, quality concerns, and adoption trends post-launch.

• Implement features or collaborate on measurement strategies for adoption, reliability, and product value assessment.

• Recognize product gaps, technical risks, edge cases, and areas for user-experience enhancement.

• Write clear, maintainable, well-tested code across front-end, back-end, APIs, integrations, and related areas of infrastructure.

• Develop reusable product and engineering patterns.

• Foster a product engineering culture centered around ownership, quality, experimentation, user value, and effective execution.

⛳️ Requirements

• Over 10 years of professional software engineering experience, including extensive experience in building and launching production applications with a Staff-level scope, leadership, and impact.

• Proficient full-stack engineering capabilities encompassing user interfaces, APIs, services, integrations, data flows, and infrastructure-adjacent domains.

• Proven experience in owning intricate product features from technical planning through implementation, launch, evaluation, and continuous iteration.

• Background in developing AI-enabled products or features, with practical knowledge of LLMs, RAG, agents, model/provider abstraction, data connectors, retrieval systems, or AI application architecture.

• Experience assessing and utilizing various AI tools, models, frameworks, or development harnesses, along with the ability to articulate trade-offs and limitations.

• Familiarity with open-source enterprise products, developer tools, infrastructure offerings, platform products, or technically complex enterprise software.

• Strong product intuition and capability to translate product direction, feedback, customer requirements, and product insights into technical plans and iterations.

• Ability to work independently in a rapidly evolving environment with shifting product direction, architecture, and enterprise demands.

• Comprehensive understanding of software quality, testing, maintainability, security, performance, reliability, and implementation trade-offs.

• Excellent collaboration and communication skills across engineering, product, design, open-source, and customer- or partner-facing stakeholders.

• Awareness of enterprise software requirements, including privacy, security, administration, access control, compliance, deployment flexibility, supportability, and responsible AI practices.

• Permanent work authorization for the specified country location; visa sponsorship is not available.

• Bonus: experience with self-hosted, hybrid, customer-controlled, or regulated deployments.

• Bonus: knowledge of EU AI Act, Cyber Resilience Act, GDPR, HIPAA, SOC 2, or similar regulatory frameworks.

• Bonus: experience with enterprise customers, public sector organizations, systems integrators, technical partners, or customer-facing engineering teams.

• Bonus: experience with reusable product patterns, component libraries, technical frameworks, or shared engineering practices.

• Bonus: background in instrumentation, observability, experimentation, or analysis of product adoption and reliability.

🏝️ Benefits

• Fully remote work & flexible scheduling.

• Company-issued laptop.

• Annual bonus program.

• Monthly stipend for remote work expenses.

• Annual professional development budget.

• Access to the Coursera learning platform.

• Attendance at industry conferences.

• Company-wide meetings and team gatherings.

• 24 days of paid time off (PTO) each year (prorated).

• Birthday leave.

• Year-end company shutdown.

• 9 wellbeing days.

• Public holidays.

• Additional paid leave.

• Quarterly wellbeing stipend for personal or family activities.

• 401(k) contributions.

• Health, dental, and vision insurance.

• Disability insurance.

• Life insurance.

• Employee assistance program.

• Paid parental leave.

• Paid sick days.