Senior Software Engineer, Analytics Data & Applied AI

Unity South APAC (SEA, ANZ, IND Subcont.); Mountain View (CA); On-site; USD 122,000 - 204,000; Full time

Benefits offered by this job

Health insurance

Employee stock ownership

Retirement plans

Generous vacation time

Parental leave support

Commuter benefits

Job summary

Unity is seeking a Senior Software Engineer to work on an internal AI product analytics agent. You will own the data layer, build ETL pipelines, and extend the knowledge layer for retrieval and evaluation, partnering with data scientists to deliver scalable analytics capabilities.

You will contribute to the roadmap for data quality and product capabilities, delivering usable features early while shaping the platform for analytics users across Unity.

Qualifications

• Strong software engineering fundamentals.
• Hands-on data engineering experience: SQL, data modelling, pipelines.
• Experience with a cloud data warehouse, ideally BigQuery.
• Experience with LLM/agent systems and retrieval quality.
• Able to work with loosely defined briefs and ship usable features.
• Collaborative with data scientists and analytics users.

Responsibilities

• Own and improve analytics datasets and data modelling for the agent.
• Build and maintain ETL and transformation pipelines for datasets.
• Improve knowledge retrieval, context construction, and prompt history.
• Develop evaluation systems to measure answer quality and drive improvements.
• Develop backend agent workflows for prompt handling and orchestration.
• Create user-facing features to speed analytics workflows for technical and non-technical users.
• Collaborate with data scientists to turn analytics needs into reusable capabilities.
• Contribute to roadmap and direction for data and quality surfaces.

Skills

SQL

Data modelling

Data pipelines

BigQuery

LLM/Agent systems

Retrieval quality

Job description

Senior Software Engineer – Internal AI Product Analytics Agent

The opportunity We are hiring a Senior Software Engineer to work on an internal AI product analytics agent here at Unity. This lets teams across Unity ask questions of our product data in natural language, used by product managers, engineers, analysts and leadership. This role will join the data-facing half of the team. You will spend half of your time working on the analytics datasets and pipelines the agent depends on, and the other half on the agent capabilities that sit on top of them: retrieval, knowledge, evaluation and answer quality. This agent is only as good as the data and the knowledge layer beneath it, and you willown that layer. You will work day to day with data scientists and analysts who are both your closest collaborators and your users. Requirements are still taking shape, so you will have a lot of say in what gets built. Note: This role is one of two we’re hiring on the team. If you lean more towards distributed systems, infrastructure and production operations than towards data modelling and pipelines, take a look at our Senior Backend Engineer, AI Platform & Infrastructure role instead!

What you'll be doing

Own and improve the analytics datasets that the agent queries, including data modelling, semantic definitions, and the documentation and metadata that make those datasets legible to an LLM.
Build and maintain the ETL and transformation pipelines that feed those datasets, and raise the bar on their correctness, freshness and testability.
Improve how the agent finds and uses knowledge: knowledge base search, retrieval quality, context construction and prompt history.
Build and extend the evaluation systems that tell us whether the agent is answering correctly, and use them to drive measurable quality improvements.
Develop backend agent workflows covering prompt handling, orchestration and response generation.
Build user‑facing features that make analytics workflows faster for technical and non‑technical colleagues alike.
Partner with data scientists to turn recurring analytics needs into reusable, scalable capabilities rather than one‑off answers.
Help set the roadmap and technical direction for the data and quality side of the platform.

What we're looking for

Strong software engineering fundamentals and experience building and shipping production systems.
Hands‑on data engineering experience: SQL, data modelling, warehouse or lakehouse design, and building pipelines that other people depend on.
Experience working with a cloud data warehouse, ideally BigQuery, and with a pipeline orchestration framework.
Experience with LLM and agent systems, or a clear pull towards them, especially retrieval quality and how you measure whether an answer is any good.
Comfort working without a fully specified brief, and a bias towards putting something usable in front of users early.
Genuine enthusiasm for working alongside data scientists and analytics users, and for shaping the product around how they actually work.
You might also have a background in data science, analytics engineering or analytics infrastructure.
Experience building data products that non‑specialists can use without hand‑holding.
Experience with data quality, lineage, governance or metadata tooling.
Experience evaluating LLM outputs systematically, for example building eval sets, scoring rubrics or feedback loops.

Base Salary Range

Base Salary Range: We determine the base salary range for this role based on your primary work location: Zone A: $135,800 - $203,600 USD gross Zone B: $153,400 - $230,200 USD gross Zone C: $172,400 - $258,600 USD gross This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.

Benefits

• Comprehensive health, life, and disability insurance
• Commute subsidy
• Employee stock ownership
• Competitive retirement/pension plans
• Generous vacation and personal days
• Support for new parents through leave and family‑care programs
• Office food snacks
• Mental Health and Wellbeing programs and support
• Employee Resource Groups
• Global Employee Assistance Program
• Training and development programs
• Volunteering and donation matching program

We offer a wide range of benefits designed to support well‑being and work‑life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Equal Opportunity Employer

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.

Should you have any concerns about your privacy, please contact us at [e-mail].