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Discovery Manager Jobs in Reno, NV (NOW HIRING)

The ideal candidate will have experience managing cases throughout the litigation process, including drafting legal documents, conducting discovery, attending hearings and depositions, and supporting ...

New

Associate Attorney

Reno, NV · On-site

$120K - $150K/yr

The ideal candidate will have experience managing cases throughout the litigation process, including drafting legal documents, conducting discovery, attending hearings and depositions, and supporting ...

Implement unanticipated discovery procedures in accordance with project permits * Coordinate in real time with construction crews, project managers, and cultural resource leads. * Maintain compliance ...

Implement unanticipated discovery procedures in accordance with project permits * Coordinate in real time with construction crews, project managers, and cultural resource leads. * Maintain compliance ...

If you're passionate about empowering communities, join us to discover a career with endless ... Develop and manage the project scope, budget, staffing, and schedule. * Coordinate with geomatics ...

If you're passionate about empowering communities, join us to discover a career with endless ... Develop and manage the project scope, budget, staffing, and schedule. * Coordinate with geomatics ...

PRODUCE/ASST DEPT LEADER

Reno, NV · On-site

$17.50 - $21.75/hr

Any management experience * Any produce/retail experience * Second language (speaking, reading and ... Inform customers of produce specials and offer product samples to help customers discover new items

Showing results 41-60

Discovery Manager information

See Reno, NV salary details

$19K

$85.2K

$137.1K

How much do discovery manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for discovery manager in Reno, NV is $85,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,669.00 and $111,241.00 per year, depending on experience, location, and employer.

What is a Discovery Manager?

A Discovery Manager is a professional responsible for overseeing the process of gathering, organizing, and managing information and evidence during the discovery phase of legal cases or investigations. They often coordinate between legal teams, clients, and technology vendors to ensure that all relevant documents and data are identified, preserved, and produced efficiently and in compliance with legal requirements. Discovery Managers play a critical role in managing electronic discovery (e-discovery) and ensuring that the discovery process runs smoothly, cost-effectively, and within set deadlines.

What are the key skills and qualifications needed to thrive as a discovery manager?

To thrive as a Discovery Manager, you need expertise in e-discovery processes, legal procedures, and project management, often supported by a background in law or information management. Familiarity with e-discovery platforms like Relativity, knowledge of legal hold software, and certifications such as ACEDS are typically required. Strong organizational, analytical thinking, and communication skills help you manage complex cases and coordinate across legal and technical teams. These skills are critical for ensuring efficient, accurate discovery processes that meet legal standards and deadlines.

What are some common challenges a discovery manager faces when coordinating cross-functional teams during the early stages of product development?

A Discovery Manager often navigates challenges such as aligning diverse stakeholder priorities, managing limited resources, and maintaining clear communication among cross-functional teams. Balancing input from product, engineering, design, and business units requires strong facilitation skills and the ability to mediate conflicting viewpoints. Additionally, adapting quickly to new information and feedback is crucial to ensure the discovery process remains agile and effective. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and collaboration.

What is the difference between Discovery Manager vs Data Analyst?

AspectDiscovery ManagerData Analyst
Required CredentialsBachelor's degree in business, marketing, or related field; experience in project managementBachelor's degree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborates with cross-functional teams, manages discovery projects, and oversees stakeholder communicationAnalyzes data sets, creates reports, and supports decision-making through data insights
Employer & Industry UsageUsed in consulting, marketing, and product development sectorsCommon in finance, healthcare, and technology industries

The Discovery Manager focuses on leading discovery projects, coordinating teams, and managing stakeholder communication, while the Data Analyst specializes in analyzing data, generating reports, and providing insights. Both roles require analytical skills but differ in scope and responsibilities within organizations.

What are the most commonly searched types of Discovery jobs in Reno, NV?

The most popular types of Discovery jobs in Reno, NV are:

What job categories do people searching Discovery Manager jobs in Reno, NV look for?

The top searched job categories for Discovery Manager jobs in Reno, NV are:

Infographic showing various Discovery Manager job openings in Reno, NV as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $85,157 per year, or $40.9 per hour.

Machine Learning Engineer (PhD Intern)

Instacart

Carson City, NV • On-site

Other

Re-posted 2 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Overview

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Team:

This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:

Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).

Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)

About the Job

Based on your passion and background, you may choose to work in a few different areas:

  • Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
  • Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
  • Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
  • Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
  • Fraud detection and prevention - Using cost sensitive learning to reduce loss.
  • Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
  • Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, C++) and algorithmic skills.
  • Good communication skills. Curious, willing to learn, self-motivated, hands-on.

Preferred Qualifications:

  • Ph.D. student at a top tier university in the United States
  • Prior internship/work experience in the machine learning space

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role.


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012