Job Description

This is a hands-on role for someone who thrives in a fast-paced environment, possesses a deep understanding of the software development lifecycle (SDLC), and can translate complex technical challenges into clear product requirements and actionable plans within a data-intensive ecosystem.



Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 15+ years of experience in software development, engineering, or a highly technical role, with at least 4 years in a Technical Product Management capacity. Demonstrated understanding of the full software development lifecycle (SDLC), from design and development to deployment and operations. Strong technical acumen with the ability to understand complex system architectures, APIs, data flows, and integration patterns. Experience working in Agile development environments (Scrum, Kanban). Proven ability to translate business needs into technical requirements and user stories. Excellent communication, interpersonal, and presentation skills, with the ability to influence and persuade diverse audiences. Problem-solving mindset with a strong attention to detail.
Preferred


Master's degree in a relevant technical field.

Extensive experience with Google Cloud Platform (GCP) services

for compute, storage, messaging, and data solutions (e.g., Cloud Run, Pub/Sub, Cloud Storage, and various data processing services). Strong understanding and experience with

data-centric architectures

, including data ingestion, transformation, storage, and consumption patterns, with an emphasis on data quality and integrity. Familiarity with distributed systems, microservices architectures, and event-driven patterns in a cloud environment. Experience with

building and managing data pipelines

, data integration, or enterprise system integration projects. Knowledge of monitoring, logging, and alerting best practices for production systems on GCP.

Product Strategy & Vision:

Collaborate with stakeholders to understand business needs and translate them into a clear technical product vision and strategy, particularly for data-driven initiatives. Define product scope, objectives, and key results (OKRs) for technical initiatives, focusing on data flow, integration, and processing.

Technical Design & Architecture Collaboration:

Work closely with engineering leadership and architects on technical design and architectural decisions, ensuring solutions are robust, scalable, and align with overall platform strategy on GCP. Champion data architecture principles, ensuring solutions support robust data pipelines, data modeling, data quality, and integration patterns. Contribute to discussions on technology choices, system integration patterns, and data modeling within a cloud-native context.

Product Development & Execution:

Own and manage the technical product backlog, prioritizing features, capabilities, and user stories based on business value, technical feasibility, and operational impact, with an eye towards data integrity and flow. Translate complex technical requirements into detailed, actionable specifications for engineering teams, including data transformation and validation rules. Act as the primary product owner within agile development cycles (e.g., sprint planning, stand-ups, reviews, retrospectives). Facilitate effective communication and collaboration between engineering, QA, and other cross-functional teams.

Non-Functional Requirements (NFRs) Management:

Define, document, and track critical Non-Functional Requirements, including performance, scalability, reliability, security, observability, and maintainability, with a strong emphasis on data quality and integrity. Work with engineering to ensure solutions meet established NFRs throughout the development process, especially within a cloud environment.

Deployment & Release Management:

Oversee the deployment and release processes for technical products on GCP, ensuring operational readiness and smooth transitions to production environments. Collaborate with DevOps and infrastructure teams on automation, monitoring, and infrastructure-as-code requirements specific to cloud deployments.

Operational Support & Improvement:

Act as a key liaison for post-deployment support, contributing to incident resolution, root cause analysis, and problem management for technical issues, particularly those related to data processing or cloud infrastructure. Gather feedback from operational teams and internal stakeholders to identify pain points and inform continuous product improvements. Drive efforts for technical debt reduction and system optimization based on operational insights from cloud monitoring.

Stakeholder Communication:

Communicate technical product updates, roadmaps, and trade-offs effectively to both technical and non-technical audiences, explaining complex data flows and cloud architecture in an accessible manner. * Manage expectations and foster strong relationships with all stakeholders.