Workstream Product Development Lead

McCarthy Holdings, Inc. (McCarthy), is the holding entity for McCarthy Building Companies, Inc., the oldest privately-held national construction company in America, and Castle Contracting. McCarthy provides the crucial business infrastructure for these entities and connects the day-to-day operations to ensure seamless operations across the business. Repeatedly honored as a great place to work and healthiest employer, McCarthy is a 100 percent employee-owned company. At McCarthy, we are committed to sustaining a culture that delivers great experiences for everyone through our core values: Genuine, We, Not I, All In.

About the role

McCarthy is investing in the future of construction through its AI Development Program – a growing team that builds custom applications on Palantir Foundry to help field, design, and corporate teams work smarter and faster. As a Product Development Lead, you’ll own the product direction for a squad within this program – shaping what gets built, setting priorities, and ensuring every product solves real problems for the people who use it. You’ll partner with a dedicated Project Lead, Palantir engineers, and business stakeholders to move from concept to production. Products span a range of complexity – from operational tools that streamline field workflows to applications that leverage machine learning and AI capabilities.

Responsibilities

• Define and maintain the product vision, roadmap, and backlog for your squad’s products, aligned with the overall platform vision and business strategy.
• Gather requirements from stakeholders and subject matter experts, prioritize features, and define acceptance criteria to ensure work is ready for sprint commitment.
• Serve as the primary voice of the business and frontline users – advocate for their workflows, pain points, and priorities in every product decision.
• Facilitate product cadences: backlog refinement, sprint planning, sprint reviews, and retrospectives. Participate in standups and cross-team coordination, providing product context and surfacing dependencies.
• Conduct user acceptance testing to validate features and iterations before release.
• Define and track product KPIs to assess adoption, usability, and business impact.

Scope and Growth

• The program operates with AI tools integrated into daily workflows – agentic coding assistants, Palantir AIP, and AI-enabled development practices. No prior experience required, but you’ll be expected to adopt them.
• Product delivery runs 3-9 months from inception to production. You may manage up to two products simultaneously, participating in transition planning as products reach go-live and hand off to a sustaining team.
• This role does not currently have direct reports, but may grow to include product managers, interns, or consultants as the team scales.

Requirements

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
• 3+ years of experience in a software product delivery environment, preferably in product management, product ownership, or business analysis.
• Familiarity with Agile methodologies and sprint-based delivery.
• Strong verbal and written communication skills.
• Ability to translate complex business problems into clearly defined product requirements.
• Comfort operating in ambiguity – this program is maturing its processes while delivering simultaneously.

Preferred Qualifications

• Experience in the construction industry or related fields (engineering, infrastructure, industrial).
• Experience working in a matrixed or cross-functional team structure with shared accountability.
• Experience with data platforms, analytics tools, or enterprise software products.
• Familiarity with AI/ML concepts at a product level (not engineering depth – understanding what’s possible and how to frame requirements for AI-enabled features).

Pay

For California locations only, the salary range for this position is: $125,000 – $160,000 depending on location. This does not include a possible bonus and other benefits which can impact total compensation. Compensation offered may vary based on work location, experience, qualifications, specialty, training, and market and business considerations, among other factors.