# Product Manager, Data and Internal Products

**Company:** [SentiLink](https://hotfix.jobs/companies/sentilink)
**Location:** Remote
**Role:** Product Management
**Salary:** $180k – $230k/yr
**Experience:** 5+ years
**Skills:** Spark, Databricks, BigQuery, Snowflake, Data Pipelines, Data Modeling, Machine Learning, Data Science, Big Data, SQL
**Posted:** 2026-02-10

> Leads product vision and execution for internal data-intensive systems and platforms at SentiLink, partnering with engineering, data science, and analytics teams. Requires 5+ years in data-heavy products, hands-on big data experience (Spark, BigQuery, etc.), and strong cross-functional leadership.

## Job Description

## Responsibilities
- Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data-intensive systems and foundational datasets.
- Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms.
- Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs.
- Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies.
- Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.
- Translate complex internal needs into clear, actionable specifications and ensure alignment across teams.
- Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies.
- Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction.
- Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.

## Requirements
- 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred.
- Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar).
- Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.
- Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces.
- Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies.
- Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs.
- Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams.
- A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability.

## Compensation
**Salary Range:** $180,000/year - $230,000/year + equity + benefits

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