Technical Product Manager, Data & Analytics Platform

Socket.dev; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Mariana Minerals is seeking a Technical Product Manager to own the data platform, analytics, and data science tooling. You will align stakeholders, set direction across the data org, and drive cohesive ownership for data-driven decisions.

The role blends exploration with structured delivery in a hybrid Pioneer/Settler environment. You will prioritize ruthlessly, write specs, and ensure engineers can stay heads-down on high-impact work while expanding data capabilities and AI-enabled workflows

Qualifications

• 4–8+ years in technical product management, data platform or analytics product roles.
• Ability to lead in a highly technical setting and build credibility with engineers.
• Depth in data infrastructure and analytics to talk credibly with data teams.
• Fluency with LLM/foundation-model landscape and agentic approaches.
• Track record turning ambiguity into structured outcomes and roadmaps.
• Hands-on prototyping ability to deliver PoCs with stakeholders.
• Strong prioritization and transparent tradeoffs.
• Excellent written and verbal communication across audiences.

Responsibilities

• Own the roadmap for the data platform, analytics, and data science tooling — decide what to build and why.
• Write specs, KPIs, and success metrics for scope and delivery.
• Prioritize and align stakeholders so engineers focus on core technical work.
• Make build-vs-buy decisions for BI and analytics tooling.
• Define where AI and agentic workflows fit and drive adoption.
• Decide which new data streams to integrate and set data quality standards.
• Lead initial prototypes with stakeholders and translate into a production roadmap.

Skills

Technical product management

Data platform

Cross-functional leadership

LLM / AI awareness

Prototyping / PoC

Prioritization

Effective communication

Tools

Hex

Looker

Job description

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

Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our data systems don't live in a vacuum — they feed process simulators, drive site automation, and are the substrate the business runs its decisions on.

We're hiring a Technical Product Manager to be the single product owner for the data engineering family — the data platform, analytics, data science, and the AI and agentic workflows built on top of them. Today this work is spread across technical leads and absorbed informally, with no one setting direction across the whole. Your job is to change that: decide what the data organization builds and why, get stakeholders aligned behind it, and make sure engineers can stay heads-down on the work that matters.

This is a hybrid Pioneer/Settler role: you'll get lightweight demos and PoCs built on ambiguous problems, and you'll bring order and cohesive ownership to data work streams that already exist. You'll prioritize ruthlessly and visibly — being explicit about what will not be worked on — and set direction rather than waiting for it to be handed to you.

What You'll Do

• Talk to our internal teams constantly — operators, machine learning engineers, software developers, analysts, and data users are your users, and their problems set the roadmap.




• Own the roadmap for the data platform, analytics, and data science tooling: what gets built next, for whom, and why.




• Write the product specs, KPIs, and success metrics that turn ambiguous asks into scoped, shippable work.




• Own prioritization and stakeholder alignment so engineers stay focused on deep technical work.




• Make the build-vs-buy calls for BI and analytics, and prioritize tooling that lets stakeholders answer their own questions instead of adding headcount.




• Own where agents fit versus conventional software, and drive AI and agentic workflows from demo to adopted tool.




• Decide which new data streams get integrated, when, and to what standard as new sensors and sources come online.




• Set the bar for what "supported" and "correct" mean as tools graduate from scripts and spreadsheets, and be explicit about what won't be migrated.

How You'll Operate

• Structure from ambiguity: Bring direction to cross-disciplinary initiatives and align stakeholders rather than waiting for direction.




• Ruthless, visible prioritization: Be explicit about what will not be worked on, not just what will.




• Hybrid Pioneer/Settler: Get initial prototypes built with stakeholders, then write the roadmap to validate the use case and, if worth it, take it to production.




• Ecosystem fluency: Understand where Mariana's data sits relative to the systems that consume it and relative to the current frontier of LLM capability, so prioritization calls stay well-calibrated.

What We’re Looking For

Must have

• 4–8+ years in technical product management, data platform or analytics product roles, or equivalent experience leading cross-disciplinary technical programs




• Comfortable being the only PM in a highly technical room — you know when to drive a decision, when to defer to engineers, and how to build credibility without being the most technical person there




• Enough depth in data infrastructure and analytics to earn credibility with data engineers, data scientists, and analysts, and to know when a technical answer is a good one




• Working fluency with the current LLM/foundation-model landscape and where agentic approaches genuinely fit versus conventional software




• Track record of bringing structure to ambiguous, cross-functional initiatives: setting direction, aligning stakeholders, and owning outcomes end-to-end




• Hands‑on prototyping ability — you can get a PoC built with stakeholders, not just write requirements for one




• Strong prioritization and tradeoff skills — you know when to say no, and you say it visibly




• Exceptional written and verbal communication across audiences, from data engineers to operators to executives

Nice to have

• Product ownership of a data platform, warehouse, or analytics stack in production




• Experience with BI/analytics tooling strategy (Hex, Looker, or embedded analytics)




• Experience shipping LLM-powered or agentic internal tools




• Background in mining, energy, chemicals, manufacturing, or other heavy industry




• Experience leading the transition from spreadsheets and scripts to supported software

Why This Role

Most data PM roles hand you a mature warehouse and a dashboard backlog. This role hands you the data platform and analytics layer the business runs on, plus the AI workflows that will increasingly run on top of it, at the moment they move from ad hoc scripts and informal ownership into supported software. 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.

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!