Project Manager

About Entrada AI

Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders.

Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges.

About the Role

Entrada AI, Inc. is seeking an experienced Project Manager to lead the delivery of high-impact Data & AI initiatives. In this role, you will be the bridge between our clients’ business ambitions and our engineering team’s technical execution. You are not just a "task tracker", you are a strategic delivery lead responsible for the health, quality, and commercial success of projects involving Databricks, modern data engineering, and advanced analytics. You will work closely with data engineers and architects to ensure we deliver reliable, scalable products that solve real-world business problems for international leaders.

Key Responsibilities

• End-to-End Delivery Leadership: Lead technology projects from initial analytical workshops and architecture planning through to implementation and production deployment.

• Team Orchestration: Manage cross-functional teams of data engineers, analysts, and backend developers, ensuring efficient workflows and high technical standards.

• Data & Analytics Oversight: Coordinate the implementation of data platforms (Databricks-centric), ETL/ELT pipelines, and sophisticated analytical systems.

• Strategic Client Partnership: Act as the primary point of contact and technical advisor for Fortune 500 stakeholders, building trust through transparent communication and reliable delivery.

• Business-to-Tech Translation: Effectively translate complex business requirements into actionable technical tasks for the engineering team.

• Scope & Risk Management: Proactively identify technical bottlenecks and project risks, manage change requests, and ensure delivery remains within budget and timeline.

• Commercial Management: Oversee project economics, including margins, utilization, and the impact of scope creep on the bottom line.

• Process Scaling: Develop and document repeatable delivery processes, templates, and playbooks to support the company’s rapid scaling.

• Collaborative Escalation: Proactively identify and escalate blockers with proposed solutions, moving beyond simple status updates to active problem-solving.

Requirements

• Experience: 3–5 years of IT project management experience within professional services or consulting, specifically in Data Engineering, BI, or data-intensive software development.

• Proven Track Record: Successful management of at least 3 full project lifecycles from presales/scoping through to production deployment.

• Methodology: Excellent knowledge and practical application of Agile (Scrum) in a technical environment.

• Technical Acumen: Ability to lead meaningful discussions regarding system architecture, data processing, and integrations.

• Tools: Proficiency with Jira and Confluence (or equivalent enterprise project management suites).

• Communication: Fluent English (C1 level or higher) with exceptional stakeholder management skills.

• Logistics: Ability to maintain a schedule with overlap for US-based customers.

• Education: Bachelor’s or Master’s degree in a relevant field.

Nice to Have

• Technical Familiarity: Hands-on experience or deep understanding of Databricks, Snowflake, Spark, Airflow, or the wider Big Data ecosystem.

• Cloud Proficiency: Experience managing projects on AWS, Azure, or GCP.

• Certifications: Industry credentials such as PMP, PRINCE2, PSM, or technical cloud/data certifications.

The Offer

Cooperation Models:

Poland: Available via Employment Contract (UoP) or B2B. 

Romania/ Greece: Available via B2B only. 

• 100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece

• High-End Tech: Apple MacBook Air M4 15" provided to all engineers.

• Referral Bonus: Bonus for bringing other top-tier engineers to the team.

• Professional Growth:

  • Certification Support: Coverage for all Databricks technical certifications.

  • Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track.

  • Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership.

  • Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution.

Recruitment Process

• Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.

• Technical Interview (60 min): Deep dive into your technical skills with our engineering team.

• Optional Client Interview: Required only in specific cases.

• Decision & Offer: We aim to close the process and provide feedback efficiently.