We are seeking a seasoned and visionary
Product Manager
to lead the strategy and execution for our core technical platform and data infrastructure. This is a critical, high-impact role responsible for building the foundational services that empower our engineering and product teams to innovate and deliver value to our customers at scale. You will be the voice of our internal developers and platform consumers, defining the roadmap for everything from our IDP microservices architecture to our data pipelines and analytics platforms. Job Function & Responsibilities
As the Product Manager for Tech Platform & Data, you will own the "product" that our engineers and business verticals use every day. Your primary goal is to enhance data processing, developer velocity, system reliability, and data accessibility across the organization.
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Vision & Strategy:
Define and articulate a clear, long-term vision and strategy for our technical platform and data products. Create and manage a detailed product roadmap that aligns with company objectives and addresses the needs of your internal customers across the company. -
Technical Leadership:
Partner closely with senior engineering leaders, architects, and data scientist / ML engineers to make critical architectural and technical design decisions. -
Execution & Prioritization:
Translate complex technical requirements into clear product requirement documents (PRDs), epics, and user stories. Ruthlessly prioritize features, enhancements, and technical debt using data-driven frameworks. -
Stakeholder Management:
Act as the central point of contact between platform engineering teams and their internal customers (e.g., application developers, data analysts, other product managers). Communicate roadmaps, manage dependencies, and ensure alignment across teams. -
Data as a Product:
Champion the "Data as a Product" mindset. Oversee the entire lifecycle of our data assets, including data ingestion, capture/ extraction, transformation, storage, governance, quality, and accessibility for analytics and machine learning. -
Metrics & Measurement:
Define and analyze key performance indicators (KPIs) to measure the health and success of the platform, such as system uptime, developer deployment frequency, API latency, and data quality scores.
Required Skills & Experience
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4+ years of product management or engineering experience
, with 3+ years focused specifically on technical, infrastructure, or data platform products. -
Deep Technical Acumen:
comfortable diving deep into technical discussions. A strong understanding of cloud infrastructure (AWS, GCP, or Azure), microservices architecture, APIs, containerization (Docker, Kubernetes), and CI/CD pipelines is essential. IDP a plus
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Data Expertise:
solid experience with modern data stacks, including data warehousing (e.g., Snowflake, BigQuery), data pipelines (e.g., Airflow, dbt), and business intelligence tools. Proficiency in SQL is a must. -
Exceptional Communication:
ability to translate complex technical concepts into clear, concise language for both technical and non-technical audiences. -
Proven Leadership:
demonstrated ability to lead and influence cross-functional teams without direct authority. Experience mentoring other product managers is a strong plus. -
Educational Background:
Bachelors degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience as a software engineer or technical architect is highly preferred. Fintech and Enterprise Startup experience preferred.
A Typical Day Might Include
- Leading a backlog grooming session with your core platform engineering team.
- Writing a PRD for a new agentic chat logging service.
- Collaborating with an application PM to understand their future platform needs.
- Analyzing platform usage metrics in a data dashboard to identify adoption trends.
- Presenting your quarterly roadmap to executive leadership.
- Deep-diving with a site reliability engineer (SRE) to triage a production incident and identify long-term solutions.
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