ZipRecruiter

Log In

1

Manager Applied Science Jobs (NOW HIRING)

Relativity

Senior Manager, Applied Science

Houston, TX · On-site

We're looking for a Senior Manager, Applied Science to lead a team expanding the aiR agentic harness for greater capability and reliability. and Requirements Capable and reliable Two requests can ...

Relativity

Senior Manager, Applied Science

Chicago, IL · On-site

We're looking for a Senior Manager, Applied Science to lead a team expanding the aiR agentic harness for greater capability and reliability and Requirements Capable and Reliable Two requests can look ...

Relativity

Senior Manager, Applied Science

Phoenix, AZ · On-site

We're looking for a Senior Manager, Applied Science to lead a team expanding the aiR agentic harness for greater capability and reliability. and Requirements Capable and reliable Two requests can ...

Relativity

Senior Manager, Applied Science

Boston, MA · On-site

We're looking for a Senior Manager, Applied Science to lead a team expanding the aiR agentic harness for greater capability and reliability. and Requirements Capable and reliable Two requests can ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsSoftware JobsSoftware Development Manager JobsManager Applied Science Jobs

Manager Applied Science information

See salary details

$27.5K

$81.7K

$137.5K

How much do manager applied science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager applied science in the United States is $81,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Applied Science vs Data Scientist?

AspectManager Applied ScienceData Scientist
Required CredentialsAdvanced degrees in science or engineering, leadership experienceDegree in statistics, computer science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, builds models, provides insights
Employer & Industry UsageTech, manufacturing, biotech, research organizationsTech companies, finance, healthcare, consulting

The main difference is that a Manager Applied Science oversees scientific teams and projects, focusing on leadership and strategic direction, while a Data Scientist primarily analyzes data and develops models. Both roles require strong technical skills, but the Manager Applied Science emphasizes management and coordination within scientific contexts.

What career can I do with a manager applied science?

A Manager in Applied Science typically advances to roles such as senior manager, director, or executive in research, development, or technical operations. They often work in industries like technology, healthcare, or manufacturing, utilizing skills in project management, data analysis, and scientific expertise to lead teams and oversee innovative projects.

What cities are hiring for Manager Applied Science jobs?

Cities with the most Manager Applied Science job openings:

What are the most commonly searched types of Applied Science jobs?

The most popular types of Applied Science jobs are:

What states have the most Manager Applied Science jobs?

States with the most job openings for Manager Applied Science jobs include:

Manager Applied Science jobs near you

Senior Manager, Applied Science

Relativity

Washington, DC • On-site

Other

Re-posted 2 days ago

Job description

Posting Type

Remote/Hybrid

Job Overview

The Work
Every legal matter is its own experiment. An attorney arrives with a theory of the case; the evidence arrives as hundreds of thousands of documents, sometimes millions, that no one has read and no model has seen. Somewhere in the cross product of the two are the answers that decide lawsuits, investigations, and livelihoods. Finding them quickly and defensibly, with the integrity and credibility attorneys can rely on, is the problem we own. We solve it creatively and rigorously.
Relativity is a data-centered, AI-native legal technology company, and Applied Science builds the AI inside Relativity aiR. We launched aiR in 2023 and have now run commercial generative AI in the legal domain for more than three years, powering work that includes the largest investigations in the world. Our systems are distinguished by the data they operate over (more than 93 petabytes) and the work they have done: over 190 million AI review decisions, backed by more than 1 billion generative sub-analyses in 2026 alone. The team is as distinctive as the data: legal experts, all former litigators, work directly inside Applied Science.
At Relativity, our mission is to Organize data. Discover the truth. Act on it. The Applied Science team serves this mission by building bold and ambitious AI systems. We are curious, dedicated, and humble. We understand complexity, uphold rigor, and measure relentlessly. We build and ship with pace. Above all, we are interdisciplinary collaborators and team players.
We're looking for a Senior Manager, Applied Science to lead a team expanding the aiR agentic harness for greater capability and reliability

Job Description and Requirements

Capable and Reliable

Two requests can look nearly identical and be worlds apart. "See if you can find me an example of this" needs a capable system: it finds the example or it doesn't. "Conduct a reasonable search for any and all documents responsive to this request" is a different kind of promise. Its answer spans a corpus no one will ever read end-to-end. So the system's process, as much as its output, has to earn the trust of the professionals who rely on it.

That property is reliability. It decomposes into consistency, robustness, calibration, and safety: systems that behave tomorrow the way they did today, degrade predictably under stress, know how confident they should be, and check their own work. Before aiR returns an analysis, it validates its citations and runs internal consistency checks; when a check fails, it refuses to answer. It has refused more than a million times so far in 2026, and we count every one as a success: an error caught before it reached a user.

Your team will build for both, and you'll define the standard for how.

What You'll Do

  • Lead and grow a team of applied scientists: hire, coach, set direction, and develop people toward their best work.
  • Set the technical and scientific bar. The work stays hands-on: you'll shape architectures, review designs and evaluations, and dig into hard problems alongside your team, close enough to the science to lead by example.
  • Own AI system readiness end-to-end, from problem framing through evaluation, error analysis, efficacy studies, and production monitoring, so that what ships is dependable and defensible.
  • Choose the right problems. Current examples range from agentic assistants that extend what a legal professional can do, to large-scale review and analysis that must stay reliable across hundreds of thousands of documents per matter. You'll help decide where we invest.
  • Partner with product, engineering, design, customer-facing teams, and the legal experts on the team to take ideas from proof-of-concept to production at scale.
  • Communicate with precision to your team, to leadership, and to customers: translate technical nuance into decisions people can act on, and carry the customer's voice back into the work.
  • Represent Relativity at industry conferences, events, and with customers.

What You Bring

  • A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years in applied AI/ML, including at least 1 year as a people leader.
  • Deep applied AI/ML and deployment engineering experience: you've built production-ready AI systems and owned them through their production lifecycle, partnering with engineering teams to keep them running reliably.
  • Fluency with modern generative AI as a component of larger systems, and sound judgment about what it can and cannot do reliably.
  • Machine-learning rigor, grounded in data understanding: careful evaluation, error analysis, and the statistical thinking to draw only the conclusions your data supports.
  • Strong software-engineering judgment and programming skill.
  • An ownership mindset that extends beyond your immediate team.

Nice to Have

  • An interest in legal technology and the justice system.
  • Experience hiring and growing a team.
  • Experience developing information retrieval systems or agentic harnesses.
  • An interest in building reliable AI systems at scale.

Why Relativity Applied Science

This is the place where your curiosity, dedication, and talent will build products that power the pursuit of justice around the world.

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:

$208,000 and $312,000

The 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:

Artificial Intelligence (AI), Business Intelligence (BI), Data Analysis, Database Management, Data Governance, Data Intelligence, Data Visualization, Information Management, Machine Learning (ML), Strategic Planning

Apply