ZipRecruiter

Log In

1

Working Engineering Jobs (NOW HIRING)

SkillStorm Commercial Services LLC

$95K - $120K/yr

SkillStorm takes working developers, pays you through six weeks of intensive AI engineering training, and deploys you to federal and Fortune 100 clients in the DC metro. Earn $95,000-$120,000 your ...

TripleTen

... working in a structured production process and keeping up with deadlines. Your audience: experienced engineers looking to level up to system architecture roles. They will spot shallow content ...

Applied Engineering

Engineering Project Manager

Eagan, MN · On-site

$59.09 - $72.22/hr

Engineering Project Manager | Burnsville, MN JOB SUMMARY We are seeking a motivated and hardworking ... Employees working in Burnsville, MN have a short commute from Savage, Apple Valley, Bloomington ...

previous page

Showing results 41-60

All JobsEngineering JobsWorking Engineering Jobs

Working Engineering information

See salary details

$12

$31

$57

How much do working engineering jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for working engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

What is a working engineer?

Working engineers are professionals who apply scientific and mathematical principles to solve real-world problems in various industries. They design, develop, test, and maintain systems, structures, or products, often working in fields like civil, mechanical, electrical, or software engineering. Their daily tasks may include project management, technical analysis, troubleshooting, and collaboration with other professionals. Working engineers play a vital role in innovation, ensuring the safety, efficiency, and sustainability of the solutions they create.

What are some common challenges faced by working engineers, and how can they effectively manage them?

Working engineers often face challenges such as balancing multiple project deadlines, adapting to rapidly changing technologies, and collaborating with cross-functional teams. To manage these, strong organizational skills, continuous learning, and clear communication are essential. Proactively seeking feedback, staying updated on industry trends, and leveraging project management tools can also help engineers stay ahead and maintain productivity. Building strong relationships with colleagues across departments ensures smoother project execution and fosters a supportive work environment.

What are the key skills and qualifications needed to thrive as a working engineer, and why are they important?

To thrive as a Working Engineer, you need a solid background in engineering principles, mathematics, and problem-solving, typically supported by a relevant engineering degree and, in some cases, a professional license (such as PE). Familiarity with industry-standard software (like AutoCAD, MATLAB, or SolidWorks), project management tools, and adherence to safety regulations are usually required. Strong communication, teamwork, and adaptability help you collaborate effectively with multidisciplinary teams and respond to project challenges. These skills and qualifications are crucial for ensuring technical accuracy, meeting project goals, and maintaining safety and quality standards in engineering projects.

What is the difference between Working Engineering vs Mechanical Engineering?

AspectWorking EngineeringMechanical Engineering
Required CredentialsTypically requires a bachelor's degree in engineering or related fieldRequires a bachelor's degree in mechanical engineering or similar
Work EnvironmentVaries from office settings to on-site technical workOften involves design, testing, and manufacturing environments
Industry UsageUsed across multiple engineering disciplines including civil, electrical, and mechanicalPrimarily focused on designing and analyzing mechanical systems
Common Search/ComparisonPeople compare Working Engineering with other engineering roles to understand job scopeOften compared with other specialized engineering fields like aerospace or industrial engineering

Working Engineering is a broad term encompassing various engineering roles, including mechanical engineering. Mechanical engineering specifically focuses on designing, analyzing, and manufacturing mechanical systems. While both require similar educational backgrounds, Working Engineering may include a wider range of responsibilities and work environments, making it a more general term compared to the specialized nature of Mechanical Engineering.

What are 20 careers in working engineering?

Working engineering encompasses a variety of careers such as civil engineer, mechanical engineer, electrical engineer, software engineer, aerospace engineer, industrial engineer, environmental engineer, chemical engineer, petroleum engineer, structural engineer, project engineer, systems engineer, quality engineer, manufacturing engineer, design engineer, process engineer, instrumentation engineer, nuclear engineer, consulting engineer, and maintenance engineer. These roles often require technical skills, relevant certifications, and knowledge of engineering principles and tools. Opportunities exist across industries including construction, manufacturing, technology, energy, and aerospace.

What cities are hiring for Working Engineering jobs?

Cities with the most Working Engineering job openings:

What are the most commonly searched types of Working Engineering jobs?

The most popular types of Working Engineering jobs are:

What states have the most Working Engineering jobs?

States with the most job openings for Working Engineering jobs include:

What are popular job titles related to Working Engineering jobs?

For Working Engineering jobs, the most frequently searched job titles are:

Working Engineering jobs near you

Director, Product Management - Data Intelligence Foundation

Bridgeport, CT • On-site

Relativity
See more jobs at Relativityexternal

Other

Re-posted 6 days ago

Job description

Posting Type

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence.
The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role.
The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and Requirements

Whatyou'llown

The full PM layer across multiple engineering orgs:

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams canbuild onwith confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structuredetermineshow easily the organization can navigate between "slow data" and "fast data" use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodesmeaning:what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ yearsleading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model.

  • Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domain

  • Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience

Preferred qualifications

  • Experience building at companies where the data platform is the product, not a supporting system.Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background.

  • Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a humandoesn't, and you design for both.

Ways of working

  • Engineering credibility is paramount.You will be in technical discussions with skilled and knowledgeable engineering leaders regularly.You need to be a peer in those conversations, not a relay.

  • Organizational cadence.Youestablishthe operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment. When priorities conflict across pillars, you hold the trade-off clearly and resolve it cleanly.

  • Internal GTM ownership.Adoption of the Foundational Layer means every product team at Relativity builds with it. You define how internal teams discover, integrate, and get value from platform services, and you measure it. This is a product strategy job and a change management job simultaneously.

  • Coaching a scaling PM org.You build PM capability, not just PM headcount, leveling people up while running at speed.

  • Cross-functional influence without authority.Youdon'tcontrol the teams that need to adopt what you build. You make the new path clearly better and bring teams along through clarity, evidence, and trust.

  • Directional clarity under ambiguity.Several of these primitives are being defined as the engineering teams build. You make good decisions with incomplete information and update them whenrequired.

  • Legal domain expertise is notrequired.However, internalizing why defensibility, chain of custody, and auditability are first-class design requirements.

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:

$188,000 and $282,000

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:

Apply