▷ Only 24h Left Senior Engineering Manager- Data

Job Description

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

About The Role

We are seeking an experienced Senior Engineering Manager Data & AI to lead our high-performing engineering teams in building data-driven platforms, products, and AI-powered solutions. This role requires a strong leader with deep technical expertise in data engineering, AI/ML, and distributed systems, combined with proven experience in scaling teams, driving innovation, and delivering enterprise-grade solutions. As a senior leader, you will partner closely with product, research, and business stakeholders to shape strategy, foster technical excellence, and ensure the execution of critical initiatives.

Key Responsibilities

- Leadership & Strategy

- Define and execute the vision and roadmap for Data & AI platforms and products.
- Build, mentor, and inspire diverse, high-performing engineering teams.
- Drive engineering excellence, setting high standards for architecture, quality, security, and scalability.

- Technology & Delivery

- Oversee the design and development of large-scale data pipelines, AI/ML systems, and intelligent applications.
- Partner with Data Science and Research teams to productize machine learning models.
- Ensure timely delivery of projects with high quality, balancing innovation with business needs.
- Drive adoption of modern data and AI technologies, frameworks, and tools.

- Collaboration & Influence

- Partner with Product, Research, and Business leaders to align technology solutions with strategic objectives.
- Influence decision-making at the executive level by providing data- and AI-driven insights.
- Act as a thought leader for Data & AI initiatives within the organization and industry.

Basic Qualifications

- Education: Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, or related field. Advanced degree preferred.
- Experience:

- 12+ years of software engineering experience with at least 5+ years in people and engineering management.
- Proven track record in leading large, distributed teams in data engineering, AI/ML, or cloud-native platforms.
- Experience delivering data platforms, real-time analytics, and AI/ML-powered products at scale.

- Technical Skills:

- Strong understanding of distributed systems, big data platforms (e.g., Spark, Kafka, Flink), and cloud environments (AWS/Azure/GCP).
- Hands-on knowledge of ML lifecycle management (training, deployment, monitoring).
- Expertise in modern data architectures, APIs, microservices, and MLOps best practices.

Preferred Qualifications

- Leadership Skills:

- Exceptional ability to attract, grow, and retain top talent.
- Strong communication and stakeholder management skills.
- Ability to operate effectively in a fast-paced, dynamic environment.

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you're passionate about technology and eager to make an impact, we'd love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.