Senior Software Engineer, Analytics Data & Applied AI

Unity; Mountain View (CA); On-site; USD 153,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Commute subsidy

Employee stock ownership

Competitive retirement plans

Generous vacation and personal days

Job summary

Unity is seeking a Senior Software Engineer to build and scale an internal AI product analytics agent. You will own the data-facing layer, including analytics datasets, ETL pipelines, and the knowledge layer that powers retrieval and evaluation.

You’ll collaborate with data scientists and analysts to shape features and drive product direction. You will work on data modelling, pipelines, and backend workflows while ensuring correctness, freshness, and usability for both technical and

Qualifications

• 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.

Responsibilities

• 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.

Skills

Software engineering

Data engineering

LLM & agent systems

Retrieval quality

Usability-focused development

Team collaboration

Tools

BigQuery

Job description

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 will own 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

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

At Unity, we want our team members to thrive. 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.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: 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 Well‑being programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

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.

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