Technical PM, Data Platforms & Internal Systems

SentiLink; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Employer-paid health insurance

401(k) with employer match

Flexible paid time off

Company-wide in-person events

Home office stipend

Job summary

SentiLink is seeking a Product Manager with a technical background to lead initiatives within its Tech organization. This role focuses on managing critical datasets and platform infrastructure that support SentiLink’s products and analytics.

Responsibilities include owning the product vision, leading cross-functional efforts to enhance internal systems, and driving initiatives to scale tech assets. The ideal candidate has 5+ years in data-heavy environments, strong comms skills, and experience with big data tools like Spark and Snowflake.

Qualifications

• 5+ years of experience with data-heavy products focused on ML/Data Science.
• Hands-on experience with large datasets in big-data environments.
• Strong understanding of data pipelines and modeling.
• Ability to lead large internal initiatives with multiple stakeholders.

Responsibilities

• Own the product vision and roadmap for internal technical initiatives.
• Lead efforts to improve quality and usability of internal systems.
• Drive initiatives to future-proof internal data and technology assets.
• Translate complex needs into actionable specifications.
• Define and track success metrics for internal systems.

Skills

Experience with data-heavy products

Communication skills

Project management

Big data concepts

Collaboration with engineering teams

Tools

Spark

Databricks

BigQuery

Snowflake

Job description

SentiLink is seeking a Product Manager with a technical background to lead initiatives within its Tech organization. This role focuses on managing critical datasets and platform infrastructure that support SentiLink’s products and analytics.

Responsibilities include owning the product vision, leading cross-functional efforts to enhance internal systems, and driving initiatives to scale tech assets. The ideal candidate has 5+ years in data-heavy environments, strong comms skills, and experience with big data tools like Spark and Snowflake.