Workstream Product Development Lead

About the Company

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 crucial business infrastructure and ensures seamless operations across the business. As a 100 percent employee-owned company, McCarthy is repeatedly honored as a great place to work and healthiest employer. The company is committed to sustaining a culture that delivers great experiences for everyone, focusing on high-performing individuals and teams through award-winning learning and development programs, best-in-class Total Rewards benefits, and an inclusive culture aligned with core values: Genuine, We, Not I, and All In.

McCarthy partners define the culture through living core values, being personally invested as employee-owners, fostering genuine connections in an inclusive environment, and respecting the work and everyone who contributes to it safely.

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 its users. You’ll partner with a dedicated Project Lead, Palantir engineers, and business stakeholders to move from concept to production. Products span operational tools, machine learning, and AI capabilities, all developed alongside AI-enabled tools and technical teams for meaningful impact at speed.

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 integrates AI tools into daily workflows, including agentic coding assistants, Palantir AIP, and AI-enabled development practices. No prior experience is required, but adoption is expected.
• Product delivery typically runs 3-9 months from inception to production. You may manage up to two products simultaneously and participate 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 (understanding what’s possible and how to frame requirements for AI-enabled features).

Pay

For California locations, 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 may vary based on work location, experience, qualifications, specialty, training, and market and business considerations.