Product Engineer

Jobgether SRL; Schweiz; Hybrid; CHF 96,000 - 158,000; Full time

Benefits offered by this job

Equity options

Health benefits

WFH stipend

Learning budget

Team events

Mentorship

Autonomy

Hybrid/remote work

AI & data infra

Job summary

This Product Engineer role, based in Switzerland, sits in a small, senior team building foundational technology for the commercial insurance market. You will own features end-to-end from ideation to deployment, with broad autonomy and no traditional PM/QA layer.

You will work across the full stack—from UI and APIs to data models and AI-powered workflows— transforming complex insurance data into intuitive tools used by brokers, lenders, underwriters, and other professionals, while leveraging AI

Qualifications

• At least 2 years building and shipping production web applications.
• Experience with AI development tools and agentic coding workflows.
• Strong full-stack capabilities across frontend, backend, and data layers.
• Experience with data-heavy products such as dashboards or pricing tools.
• Clear product instincts with a bias toward delivering value.
• Autonomy and ability to drive work to production in a small team.
• Excellent communication and collaboration in a senior, empowered environment.

Responsibilities

• Own features end to end from scope to deployment and iteration.
• Work across UI, APIs, data models, backend services, and infra integrations.
• Translate complex insurance data into intuitive interfaces for professionals.
• Lead a product squad with ownership of a platform area.
• Identify dependencies and proactively address blockers.
• Leverage AI coding tools to accelerate development and leverage.
• Contribute to model evaluation and production AI workflows.
• Collaborate with product designers and infrastructure teams to deliver production-ready experiences.

Skills

Full-stack

AI tooling

Product mindset

Communication

Tools

Codex/Claude Code

APIs

AI workflows

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Engineer based in Switzerland.

This is a high-ownership Product Engineer role within a small, senior team building foundational technology for the commercial insurance market.

You will take complex problems from an initial thesis through design, implementation, deployment, and continuous iteration, with broad freedom over how solutions are built.

The role spans the full product and engineering stack, from user interfaces and APIs to data models, background jobs, and AI-powered workflows.

You will work with large-scale, structured insurance data to create intuitive products used by brokers, lenders, underwriters, and other insurance professionals.

AI is deeply embedded in the engineering workflow, and you will be expected to use modern coding agents and AI tooling to increase development speed and leverage.

With no traditional Product Manager or QA layer, Product Engineers are expected to exercise strong product judgment, challenge assumptions, and own outcomes rather than simply execute specifications.

This is an opportunity to join an ambitious, highly empowered environment where your work can have immediate impact on a rapidly evolving financial infrastructure market.

Accountabilities

• Own product features end to end, from defining scope and identifying dependencies through development, deployment, customer adoption, and iteration.
• Work across the full technology stack as needed, including user interfaces, APIs, data models, backend services, background jobs, and infrastructure integrations.
• Transform complex, data-heavy insurance information into clear, intuitive interfaces that professionals can rely on in their daily workflows.
• Lead a product squad and take responsibility for a defined area of the platform, with ownership aligned to your strongest technical and product instincts.
• Identify dependencies on adjacent teams or systems, clearly define what is required, and proactively address potential blockers.
• Use AI coding tools, agents, and agentic workflows extensively to accelerate development and increase engineering leverage.
• Contribute to model evaluation and benchmarking initiatives, helping determine which AI models and approaches are appropriate for customer-facing and data-sensitive workflows.
• Develop and improve internal evaluation harnesses where they can outperform or provide greater reliability than direct model calls.
• Apply strong product judgment to challenge unclear requirements, simplify solutions, prioritize high-value work, and discontinue features that do not deliver sufficient value.
• Work closely with Product Designers and Infrastructure/Platform specialists to turn ambiguous problems into effective, production-ready experiences.
• Continuously identify opportunities to improve the product, engineering workflows, and underlying data systems.
• Take ownership of outcomes rather than waiting for detailed specifications, established processes, or predefined implementation plans.

Requirements

• At least 2 years of experience building and shipping production web applications; candidates with significantly more experience are equally welcome, with demonstrated ability to take problems through to completion being the key consideration.
• Advanced, hands-on daily experience using modern AI development tools such as Codex, Claude Code, or comparable agentic coding workflows.
• Strong full-stack engineering capabilities and comfort moving between frontend, backend, data, and supporting systems.
• Experience working with data-heavy products such as dashboards, analytics platforms, pricing systems, operational tools, or other applications involving complex datasets.
• Strong product instincts and a clear bias toward shipping useful solutions rather than optimizing for process.
• Ability to independently understand ambiguous problems, make sound technical and product decisions, and drive work through to production.
• High autonomy and self-direction, with the ability to make meaningful progress without extensive processes or management layers.
• Strong communication and collaboration skills within a small, senior, highly empowered team.
• Willingness to take ownership of both technical implementation and product outcomes.

Nice To Have

• Experience in insurance, financial services, or another regulated and data-intensive industry.
• Exposure to real-time data products, market indexes, benchmarks, pricing platforms, or similar systems.
• Experience working at an early-stage company where you have taken on multiple responsibilities across product and engineering.
• Interest in financial markets, market structure, pricing transparency, or data infrastructure.
• Experience working with AI evaluation, benchmarking, model selection, or production AI systems.
• Experience building products where data quality, reliability, and customer trust are critical.

Benefits

• Competitive salary range of $115,000-190,000 USD.
• Equity or stock options in addition to base salary.
• Standard health and wellness benefits.
• Work-from-home stipend.
• Learning and development budget.
• Team events and opportunities for collaboration.
• Mentorship and exposure to experienced industry leaders from organizations across finance, technology, and product.
• High degree of autonomy and ownership within a small, senior team.
• Hybrid and remote working options.
• Opportunity to work on complex, high-impact problems at the intersection of software, AI, data, and financial infrastructure.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.