Staff PM: Engineering & Construction for AI-Driven Capital Projects

Mariana Minerals

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

3 days ago

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Job summary

Mariana Minerals is hiring a Staff Product Manager to own the Engineering and Super domains of CPOS, the operating system for designing, planning, and building capital projects. CPOS is organized around four components (MarianaEngineer, MarianaGSM, MarianaSuper, and MarianaPM) and this role owns two of them end-to-end: MarianaEngineer and MarianaSuper.

You will be the single accountable owner for product strategy, roadmap, and execution across engineering and construction, working alongside PMs

Qualifications

5+ years of experience in capital project engineering (process, mechanical, or EPC design) and/or construction or field execution (superintendent, construction management, project controls).
Strong understanding of the capital project lifecycle including design basis, engineering deliverables, procurement handoff, construction execution, and commissioning.
Ability to translate complex operational workflows into clear requirements, priorities, and product decisions, and to lead cross-functional teams through ambiguous, complex projects with competing stakeholder priorities.
Genuine interest in AI-powered tooling. You know how to translate model capabilities into products that engineers and superintendents will trust and adopt, and you enjoy staying current on the cutting edge of AI advancements.
Strong communication skills across a wide range of organizational contexts, from field superintendents and engineers to executives.

Responsibilities

Own the product vision, roadmap, and prioritization for MarianaEngineer and MarianaSuper, including agentic tooling such as engineering automation, reality capture, and plan-versus-actual intelligence.
Serve as the primary domain expert translating capital project engineering and construction workflows into software requirements. You will act as the the bridge between project engineers, superintendents, project controls, software engineering, and executive stakeholders.
Embed directly with engineering and field teams to understand how design and construction work actually happens, anticipate edge cases, and distinguish true product requirements from one-off user preferences or process gaps.
Write clear requirements, user stories, acceptance criteria, and business rules; build and test prototypes to hone in on valuable products as quickly as possible.
Build a structured user engagement model (discovery sessions, workflow reviews, sprint reviews, UAT, and adoption check-ins) that makes users accountable for feedback, testing, and adoption.
Develop rollout plans, training materials, adoption metrics, and feedback loops; track adoption barriers and work with engineering and construction leaders to resolve them.
Define and track success metrics: modeling and design turnaround time, C4 and reality-capture adoption, plan-versus-actual accuracy, cycle time, and downstream project outcomes (schedule, cost, safety).
Participate in sprint planning, backlog grooming, and retrospectives; maintain a well-prioritized backlog.
Create visibility into what is being built, why it matters, and how it is performing.
Help build the PM function at an AI company. This is a small, early team where you'll help establish how we work and develop PMs behind you at a company at the cutting edge of developing and adopting AI.