.png){kind=logo}
Posting Type
Hybrid
Job Overview
At Relativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects. Continuing to deliver on that promise — and to grow our business and enter new markets — depends on having enough cloud capacity provisioned ahead of demand, and on knowing in real time whether our services are meeting the quality and quantity bar our customers expect. This Infrastructure Product Management team owns capacity forecasting and service observability for our cloud infrastructure, giving engineering and business stakeholders a shared, forward-looking view of what we'll need and how our services are performing.We're looking for an Associate Product Manager who brings a data-driven approach to decision making and treats AI as the primary way they get their work done. You'll use AI-powered tools day to day — to structure and analyze usage and growth data, build capacity forecasts, monitor service health, and turn raw signals into clear, defensible recommendations. You’ll be able to tell whether and when a capacity problem is likely to occur before it affects customers, rather than after. You'll work with engineering and business stakeholders to translate growth plans and new-market launches into capacity forecasts grounded in data, not assumption. This is an opportunity to build both product management and analytical instincts from day one, using AI to move faster and dig deeper than manual analysis alone would allow, while growing toward a future Product Manager role.
Job Description and Requirements
Role Responsibilities
Use AI-powered tools as your primary way of structuring and analyzing infrastructure usage and growth data, building and maintaining capacity forecasting models with guidance from senior team members.
Correlate infrastructure signals with business drivers (growth targets, new-market launches, seasonal demand, customer segments) to determine if and when a capacity problem is likely to occur — spotting it in the data before it becomes an incident.
Monitor capacity and utilization dashboards, using AI to help surface anomalies and emerging constraints early enough for engineering to provision ahead of demand.
Partner with engineering and business stakeholders, using AI-assisted analysis to translate growth plans and new-market launches into capacity forecasts, and clearly document the data and assumptions behind each one.
Draft requirements, forecast summaries, and stakeholder updates with AI as a first pass, then refine for accuracy — keeping stakeholders informed with timely, data-backed updates and escalating risks early.
Support recurring capacity and service-health review cadences, using AI to help prepare materials, synthesize takeaways, and track action items and decisions.
Conduct check-ins with engineering and business stakeholders to understand upcoming growth plans and infrastructure needs, using AI to help synthesize patterns across conversations and data sources.
Maintain a groomed, prioritized backlog of capacity and observability initiatives and deliver on commitments with clear QA criteria, seeking guidance from your manager to re-prioritize as needs shift.
Preferred Qualifications:
Experience using AI tools (e.g., ChatGPT, Copilot, Claude, or similar) for data analysis, forecasting, or drafting work — through a prior role, internship, or coursework.
Comfort with data analysis techniques (e.g., trend analysis, cohort analysis, correlation) to identify patterns and anticipate outcomes rather than just report on them.
Exposure to observability or monitoring tools (e.g., Grafana).
A demonstrated eagerness to learn continuous discovery practices, hypothesis-driven development, and structured experimentation.
Minimum Qualifications:
0–2 years of experience in product management, business/data analysis, or a related field.
Bachelor's degree in Business, Data Analytics, Computer Science, Engineering, or comparable work experience.
Hands-on comfort using AI tools as part of day-to-day work.
Comfort working with data — spreadsheets, dashboards, or basic querying — to identify trends and support a decision.
Strong written and verbal communication skills.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
$94,000 and $142,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Required Skills:
Skills Required
- 0-2 years of experience in product management, business/data analysis, or a related field.
- Bachelor's degree in Business, Data Analytics, Computer Science, Engineering, or comparable work experience.
- Hands-on comfort using AI tools (e.g., ChatGPT, Copilot, Claude) as part of day-to-day work.
- Comfort working with data — spreadsheets, dashboards, or basic querying — to identify trends and support decisions.
- Strong written and verbal communication skills.
- Experience using AI tools for data analysis, forecasting, or drafting work.
- Familiarity with data analysis techniques (trend analysis, cohort analysis, correlation).
- Exposure to observability or monitoring tools (e.g., Grafana).
- Eagerness to learn continuous discovery, hypothesis-driven development, and structured experimentation.
Relativity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Relativity and has not been reviewed or approved by Relativity.
-
Leave & Time Off Breadth — Time off options include discretionary time off and two company‑wide breaks each year, providing additional recharge time.
-
Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans, telehealth access, and wellness resources such as a Headspace subscription.
-
Parental & Family Support — North America offers up to 12 weeks of fully paid parental leave, with comparable regional programs in EMEA and APAC.
Relativity Insights
What We Do
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains of documents, emails, and texts, more legal and data-centric matters can be resolved equitably. Join us in our mission to help our customers organize data, discover the truth, and act on it. Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. Relativity does not tolerate racism or discrimination of any kind. We do not accept unfair treatment of any person or group of people. We’re committed to advocating for change to make our world a more inclusive, just place.
Why Work With Us
We believe in our team members and we want to help you own your career as part of a community of values-driven people who help customers around the world solve complex data challenges. At Relativity, you’ll take on challenging work, but you’ll also partner with talented colleagues and pursue plenty of learning and development opportunities.
Gallery
.png)
