Product Analytics Engineer

Product Analytics Engineer (AI/LLM’s) – New York (On-Site) – Competitive Salary + Equity + Opportunity to work with an Ambitious, Rapidly-Growing Start-Up

This young, early-stage start-up challenger are currently looking for a Product Analytics Engineer (AI/LLM’s) to join their small team and help drive the business forwards.

This is an excellent opportunity for a mid-level Product Analytics Engineer (AI/LLM’s) with founding/small start-up experience to take that next step into an exciting position with a very well-run and ambitious organisation in an innovative, exciting space.

This young and agile company are building cutting-edge AI platforms. They are in a unique space where there is an opportunity for them to gain significant market share very quickly.

About the Company:

Series A secured, Series B funding almost closed, this is a company heading in the right direction!

This very young company who were founded just over a year ago have taken big strides in their space already!

With their ambitious product vision in AI and ML, you will tackle interesting technical challenges that push the boundaries of what’s possible.

There is the opportunity to work within a complex codebase, own entire product points, and build new features end-to-end.

They work on building GenAI software to help accelerate organisations.

Everything they do is entrenched in achieving engineering excellence.

They are a meritocratic, mission-driven organisation focused on technical excellence, practical innovation, and meaningful impact with the aim of solving real problems through cutting-edge AI technology.

Their culture is not corporate, and they like to trust their employees to take on a lot of responsibility and have input into the shape of growth of the organisation.

With a small team of roughly 10 Engineers at the moment, they are poised to ramp up quickly and are looking to add several software engineers to their team as soon as possible!

They all work together 5 days on-site in their Central Manhattan office

About the Product Analytics Engineer (AI/LLM’s) Vacancy:

You will have the opportunity to construct and lead the product analytics foundation as the main Analytics Engineer.

You will define success metrics, map the user journey, and uncover insights that shape how they build and improve the product.

Your work will help the entire company understand what drives engagement, where users drop off, and how we can make the platform more valuable to their

customers.

What You Will Do:

• Construct and iterate dashboards to track product usage, funnels, retention, activation, user journey paths, and feature adoption

• Define and iterate core product metrics and ensure they’re modelled cleanly and reliably

• Analyze user journeys to identify friction, improve activation, and drive growth

• Respond to one-off customer analysis requests by delivering custom solutions and insights

• Conduct customer-level and segment analyses to support sales, marketing, and customer success

• Collaborate with developers to instrument events, sustain data ingestion pipelines, and ensure high data quality

Ideal Requirements for the Product Analytics Engineer (AI/LLM’s) Vacancy:

• Fluency in SQL and experience with Python

• Experience working on product analytics including funnels, retention, user journeys, and activation

• Demonstrable data modelling experience and a smooth approach to defining metrics

• Experience at a B2B SaaS or product-focused company

• Several years in analytics, data, or product roles focused on user behaviour and product usage

• Strong product sense and ability to turn data into clear insights for product and go to market teams

• A sense of ownership and accountability for data quality and reliability

Further Information:

• Ideal: Product data scientist background, hands-on with pipelines/dashboards, analytics exp (not new grad), strategic mindset

• Person will have complete ownership of the entire product analytics function at an early stage company; key role in shaping how we measure usage and make product decisions

Fluency in SQL and experience with Python

Experience working on product analytics including funnels, retention, user journeys, and activation

Strong data modelling skills and a clean approach to defining metrics

2+ years in analytics, data, or product roles focused on user behaviour and product usage

Strong product sense and ability to turn data into clear insights for product and go to market teams

Apply to the Role:

Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply to this advert or email your CV to richard@weareorbis.com