Senior Software Engineer, Analytics Data & Applied AI

Socket.dev; Mountain View (CA); On-site; USD 150,000 - 260,000; Full time

Benefits offered by this job

Health insurance

Employee stock ownership

Generous vacation and personal days

Retirement plans

Parental leave support

Job summary

Unity is hiring a Senior Software Engineer to build an internal AI product analytics agent. You will own the data-facing layer, including analytics datasets and pipelines, and extend the knowledge layer over datasets.

You will collaborate with data scientists and analysts to shape the product and influence roadmap. You will work on data modelling, pipelines, knowledge retrieval, evaluation, and backend workflows, delivering usable solutions early for both technical and non-technical teams.

Qualifications

• Strong software engineering fundamentals and experience shipping production systems.
• Hands-on data engineering with SQL, data modelling and data pipelines.
• Experience with a cloud data warehouse (ideally BigQuery) and a pipeline orchestration framework.
• Experience with LLMs/agent systems and measuring answer quality.
• Ability to work without a fully specified brief and deliver usable components early.
• Enthusiasm for collaborating with data scientists and analytics users.

Responsibilities

• Own and improve analytics datasets used by the AI agent, including data modelling and metadata.
• Build and maintain ETL and transformation pipelines feeding datasets.
• Improve knowledge retrieval, search, context construction and prompt history.
• Develop and extend evaluation systems to measure answer quality and drive improvements.
• Develop backend agent workflows for prompt handling, orchestration and response generation.
• Build user-facing features to speed analytics workflows for technical and non-technical users.
• Partner with data scientists to turn recurring analytics needs into reusable capabilities.
• Help set roadmap and technical direction for the data and quality platform.

Skills

Software engineering fundamentals

Data engineering

BigQuery / cloud data warehouse

LLM / AI systems

Retrieval quality

Usable product mindset

Collaboration with data scientists

Tools

BigQuery

Airflow / orchestration framework

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: 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

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.

• 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

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.

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.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. 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.

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