Senior Technical Product Manager, Data Infrastructure

Applecart • New York, NY

2h • $160,000 - $195,000 • Hybrid

About The Position

You will be responsible for defining and driving the product architecture, roadmap, and prioritization for data lakehouse architecture in alignment with Applecart’s business and data practices. Additionally, be the champion for best practices in release engineering, observability, and data governance. In this position, you will work with the data infrastructure, research, and measurement teams. This role will report to the Director of Product Management.

Requirements

• 6+ years of experience in product management, with at least 3+ years focused on data platforms, infrastructure, or enterprise SaaS environments.
• Experience owning platform, infrastructure, or customer data products in a data-rich environment.
• Strong written and verbal communication skills.
• Impeccable attention to detail and superior organizational skills.
• Proficiency in SQL—enough to engage meaningfully with technical stakeholders and dive into data use cases.
• Familiarity with data observability platforms or privacy and compliance frameworks.
• Strong technical background with working knowledge of AWS, Snowflake, dbt, and cloud-native data architectures.
• Proficiency in Agile development practices and tools—roadmapping, story writing, backlog grooming, and sprint planning.
• Familiarity with Git-based code management and SDLC workflows.
• Experience driving adoption of observability and monitoring practices across infrastructure products.
• Deep understanding of data governance, including data security, privacy regulations, and compliance standards.

Nice To Haves

• Background implementing or scaling internal data catalogs, customer data platforms, or data activation pipelines.
• Prior experience as a software or data engineer is a plus.
• Experience with AI/ML workflows is a plus.

Responsibilities

• Define and lead the product vision for core areas of Applecart’s internal data platform, including capabilities such as metadata management, data classification, observability, and identity resolution.
• Own the product roadmap and prioritization process in close collaboration with engineering, analytics, data scientist and legal teams.
• Translate data consumption/ creation, internal use cases, and stakeholder feedback into clear, structured product requirements.
• Partner with Data Engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Snowflake, Databricks, Airflow, and dbt.
• Guide adoption of data infrastructure and tooling across teams by ensuring it meets the needs of data producers and consumers alike.
• Define and track success metrics that demonstrate impact on data availability, trust, usability, or activation.
• Communicate product priorities, trade offs, and timelines clearly across technical and non-technical audiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed