Project Manager

This is a fully remote position, open to applicants in Thailand.

📋 Description

• Lead, guide, and expand a high-performing team of data engineers and data scientists.

• Establish and advance the vision for data architecture, including technical standards and best practices across client engagements.

• Advocate for AI/ML initiatives, pinpointing opportunities for automation, modeling, and intelligent activation.

• Oversee the complete delivery of data platforms, pipelines, and tools across client projects.

• Ensure robust data governance, security, and compliance throughout all workflows.

• Collaborate with CRM, Growth, and Strategy teams to ensure that technical delivery aligns with business objectives.

• Partner with clients to convert business requirements into scalable technical solutions.

• Manage relationships with vendors and platforms within cloud, data warehouse, and CDP ecosystems.

• Enhance the performance, reliability, and cost-effectiveness of data infrastructure and operations.

• Represent Massive Rocket’s data capabilities during client discussions, proposals, and strategic engagements.

⛳️ Requirements

• Over 7 years of experience in engineering leadership roles focused on data and AI technologies.

• Proven expertise in managing and scaling cross-functional data teams (5–8+ direct reports).

• Strong history of hiring, mentoring, and developing technical talent.

• Experience in delivering complex data programs in high-growth or consulting settings.

• More than 10 years of hands-on experience in data engineering and modern data stack architectures.

• Extensive knowledge of enterprise data platforms like Snowflake, BigQuery, Databricks, or similar.

• Familiarity with CDPs and data integration tools such as Segment, mParticle, Hightouch, or equivalents.

• Strong grounding in data architecture, governance, and security best practices.

• Awareness of AI/ML ecosystems and orchestration tools (e.g., Airflow, dbt, SageMaker, MLflow).

• Solid understanding of cloud platforms (AWS, Azure, GCP) and modern DevOps practices.

• Strong experience in stakeholder management, including collaboration with senior and C-level clients.

• Ability to convey complex technical concepts clearly to non-technical audiences.

• Experience working in agency or consultancy settings with client-facing responsibilities.

• Strategic mindset, capable of balancing technical debt, scalability, and commercial delivery priorities.

• Proficient in English at C1 level.

• Certifications in major cloud or data platforms (AWS, Snowflake, etc.).

• Experience with real-time and streaming technologies (Kafka, Kinesis, etc.).

• Background in MLOps and deployment of AI models.

• Experience in marketing technology, customer data, or e-commerce analytics.

• Proven track record of scaling engineering teams in fast-growth environments.

🏝️ Benefits

• Rocket‑Fuelled Growth – Tackle significant challenges, accelerate learning, and advance your career faster than anywhere else.

• A Culture That Actually Gives a Damn – A supportive, positive environment built around individuals who want to see you succeed.

• A Global Crew – Collaborate with talented teammates from Europe, the US, and beyond.

• Remote‑First for Life – Work from wherever you feel most productive.

• Real Career Momentum – Clear pathways for progression, genuine ownership, and opportunities to develop into your next role.

• Moments That Matter – Participate in meetups, events, and team experiences that make the journey memorable.