Описание

Orca AI is transforming maritime operations through AI-powered situational awareness and decision-making. Trusted by global shipping leaders, our platform improves safety, efficiency, and performance across fleets worldwide. We are looking for a Tech Delivery Manager to help drive execution across multiple R&D teams and initiatives.

Responsibilities

Track execution across multiple R&D teams and workstreams
Coordinate cross-team dependencies and execution alignment
Maintain clear visibility into plans, timelines, blockers, and risks
Follow up on commitments and help teams stay aligned around execution goals
Surface risks, bottlenecks, and escalation points early
Help maintain accurate and consistent plan vs actual tracking
Drive delivery predictability and execution consistency across teams
Reduce coordination and tracking overhead from engineering leadership

Requirements

5+ years in delivery / project / program management roles in a tech environment
Proven experience driving execution in technical organizations
Strong understanding of software development processes and cross-team dependencies
Experience working closely with engineering teams and technical leadership
Excellent organizational, communication, and follow-through skills
Ability to manage multiple parallel workstreams in fast-paced environments
High ownership mentality and attention to detail

Nice to have

Experience in B2B SaaS or AI companies
Technical background or strong technical orientation
Experience working in scaling R&D organizations
Familiarity with Jira, Monday, Linear, or similar tools

We offer

Work on real-world systems deployed globally
Collaborate with a strong multidisciplinary engineering organization
High impact on execution and operational effectiveness
Fast-paced environment with meaningful technical and organizational challenges

Hiring process

Clear and reliable visibility into ongoing execution
Early identification of risks and blockers
Better alignment between teams around timelines and commitments
Reduced coordination overhead from engineering leadership
More accurate and consistent plan vs actual tracking
Improved delivery predictability across R&D initiatives