Staff Product Manager, Engineering & Construction
Company websitemarianaminerals.com (Mariana Minerals, opens in new tab)
Base salary $180K to $210K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
We're hiring a Staff Product Manager to own the Engineering and Super domains of CapitalProjectOS (CPOS), the operating system for how Mariana designs, plans, and builds capital projects. CPOS is organized around four components ( MarianaEngineer (design), MarianaGSM (procurement), MarianaSuper (construction), and MarianaPM (planning and monitoring)) and this role owns two of them end-to-end: MarianaEngineer, the centralized system for design basis, process and engineering data, and 3D models; and MarianaSuper, the real-time command center for construction execution and plan-versus-actual tracking in the field.
You will be the single accountable owner for product strategy, roadmap, and execution across engineering and construction, working alongside PMs who own procurement (GSM) and planning/knowledge (PM) within the same CPOS team. The ideal candidate has hands-on experience in capital project engineering or construction/field execution and is energized by the challenge of embedding AI into workflows that engineers and superintendents depend on every day.
What You'll Do
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.
Desired Qualifications
Must Have
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 go deep on engineering and construction workflows and earn credibility with domain experts by understanding how the work actually happens.
Strong product judgment: ruthless prioritization, focus on highest-leverage work, resistance to building everything at once.
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.
Nice to Have
Direct experience with engineering software (P&ID, 3D/plant design, datasheet or equipment-sizing tools) or construction management software (scheduling, QA/QC, reality capture, command-center platforms).
Experience shipping AI-powered enterprise tools: agentic engineering workflows, document intelligence, or process co-pilots.
Track record of digital transformation in capital-intensive industries — mining, energy, construction, or manufacturing.
Prior product management experience, or genuine excitement to move into product management from an engineering or construction background.
AI-forward projects outside of work.
Why This Role
At Mariana, you don't need to validate product-market fit because we are the market. If you identify a real problem and build a real solution, adoption is a conversation, not a sales cycle.
MarianaEngineer and MarianaSuper are the platforms that determine whether Mariana's designs move from design basis to 3D model without drifting out of sync, and whether the field catches a schedule or quality problem in real time instead of in a monthly report. The engineering tools you build set the authoritative source of truth for every project. The command center you build is what a superintendent looks at every morning to run the site.
If you want to own something end-to-end, build software with immediate operational impact, and help shape what a modern industrial company looks like from the inside out — we'd love to talk.
Our culture is built on four principles:
Everyone Gets Home Safe. We never put speed or cost ahead of people.
Extreme Ownership. We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale.
Share Your Legos. We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply!
Source: Mariana Minerals on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 53% of the 936 Product roles in California listed on this site; 41 others list the same floor. Their median floor is $176,800; the middle half runs from $150,225 to $205,154.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingStaff Product Manager, Engineering & Construction$180K to $210K
Head of Engineering Programs$180K to $240K
Staff Product Designer, MarianaOS$180K to $210K
Staff Product Manager$180K to $210K
Staff Piping Engineer$170K to $210K
Member of the Special Projects Staff$170K to $185K
Staff Machine Learning Engineer (Autonomy)$160K to $200K
Chart as a table
| Role | Published base |
|---|---|
| Staff Product Manager, Engineering & Construction (this listing) | $180K - $210K |
| Head of Engineering Programs | $180K - $240K |
| Staff Product Designer, MarianaOS | $180K - $210K |
| Staff Product Manager | $180K - $210K |
| Staff Piping Engineer | $170K - $210K |
| Member of the Special Projects Staff | $170K - $185K |
| Staff Machine Learning Engineer (Autonomy) | $160K - $200K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-17
Where this pay comes from
Location as the employer wrote it: San Francisco HQ
USD 180,000 – 210,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
