Senior Product Engineer - AI SaaS Platform

Fin. The highest performing Customer Agent; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Equity

Lunch provided

Pension 4% match

Health and dental insurance

Flexible PTO

Maternity/Paternity leave

Cycle-to-Work

MacBooks provided

Job summary

Fin is seeking an experienced product engineer to solve real customer problems across our SaaS platform. You will join a multidisciplinary team building back-end and front-end systems, collaborating with designers, PMs, researchers and data analysts to deliver scalable solutions.

Expect a fast-paced environment with opportunities to mentor engineers, shape architecture, and contribute to deploys, security, and ML-focused features.

Qualifications

• 5+ years of industry experience in a software engineering role, preferably building a SaaS product.
• Deep knowledge of a high-level programming language (Ruby, Python, Javascript) and ability to learn new ones quickly.
• Experience collaborating with product teams and designers; delivering value to customers.
• Experience with Distributed systems and scalable architectures.

Responsibilities

• Develop technical plans and contribute to our technical architecture as we scale.
• Write Ruby code that knits together AWS, infrastructure, platform and SaaS technologies.
• Ship production changes on day one and frequent deployments across weekdays.
• Mentor engineers and participate in interviewing to grow the team.

Skills

SaaS product

5+ years exp

Ruby

Python

JavaScript

Distributed systems

Cross-functional teams

Mentoring engineers

Tools

AWS

Job description

Fin is seeking an experienced product engineer to solve real customer problems across our SaaS platform. You will join a multidisciplinary team building back-end and front-end systems, collaborating with designers, PMs, researchers and data analysts to deliver scalable solutions.

Expect a fast-paced environment with opportunities to mentor engineers, shape architecture, and contribute to deploys, security, and ML-focused features.