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Foundation Developer Jobs in Philadelphia, PA (NOW HIRING)

Bachelor's Degree in Civil Engineering or a related field preferred * Strong leadership experience ... Deep foundation systems, including: * Drilled Shafts (36"-144") * Micropiles * H-Piles * Sheet ...

.NET Developer

Philadelphia, PA · On-site

$46 - $61/hr

NET Developer for a contract position in the Cable Industry. The role involves working as a web ... Strong SQL Server experience is required. • Zurb Foundation experience is a plus. • Good ...

Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber design, foundation engineering, lateral force analysis, structural dynamics, and building code ...

Net Developer

Philadelphia, PA

$48.75 - $64.25/hr

... Foundation Server (TFS) 5+ years front end developer rendering page designs for large-scale, public-facing websites - HTML, CSS 5+ years working with Javascript UI technologies - JQuery, AJAX, the ...

Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber design, foundation engineering, lateral force analysis, structural dynamics, and building code ...

DevOps Engineer T3

Newtown Square, PA · On-site

$50.50 - $69/hr

Bachelor's degree in a technical field such as computer science, computer engineering or related field required 3-5 years' experience required A solid foundation in computer science, with strong ...

Front End Developer

Malvern, PA · On-site

$102K - $118K/yr

Job Summary : RIT Solutions, Inc. is a company seeking a Front End Developer. The main ... Required : • Strong foundation in web development fundamentals: TypeScript, HTML, and SCSS. • ...

This role will combine advanced machine learning, foundation model engineering, and domain expertise to accelerate safer drug discovery and support regulatory-ready New Approach Methodologies (NAMs)

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Foundation Developer information

See Philadelphia, PA salary details

$40.4K

$130.5K

$159.9K

How much do foundation developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for foundation developer in Philadelphia, PA is $130,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $158,400.00 per year, depending on experience, location, and employer.

What is the difference between Foundation Developer vs Front-End Developer?

AspectFoundation DeveloperFront-End Developer
Required SkillsHTML, CSS, JavaScript, responsive design, web frameworksHTML, CSS, JavaScript, UI/UX design, frameworks like React or Angular
CertificationsWeb development certifications, HTML/CSS certificationsUI/UX certifications, JavaScript frameworks certifications
Work EnvironmentWeb development teams, software agencies, tech companiesWeb development teams, digital agencies, tech startups
Industry UsageCommonly used in web development projects focusing on foundational codingFocuses on user interface and experience design

While both Foundation Developers and Front-End Developers work on web projects, Foundation Developers focus on the core structure, coding, and responsive design, whereas Front-End Developers emphasize user interface and experience, often working with visual design and interactive elements.

What are popular job titles related to Foundation Developer jobs in Philadelphia, PA? For Foundation Developer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Foundation Developer jobs in Philadelphia, PA look for? The top searched job categories for Foundation Developer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Foundation Developer jobs? Cities near Philadelphia, PA with the most Foundation Developer job openings:

Director, Product Management - Data Intelligence Foundation

Relativity

Philadelphia, PA • On-site

Other

This job post has expired today. Applications are no longer accepted.


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 (~# engineers):

  • 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: