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Sentrycs’ mission is to enable a more drone-empowered future!
How?
With our integrated counter-drone solution, we support law enforcement agencies, prisons, critical infrastructures, airports, mass events, convoys, militaries, and more, by providing them with 24/7 drone protection. With our fully autonomous, easily portable, and UTM-ready technology, detecting and mitigating unauthorized drones has never been more simple.
We work to keep society protected from unauthorized eyes in the skies so you can remain operational and ensure business continuity on the ground. Let’s build a drone-empowered future together!
Lead the planning, delivery and release of multiple R&D programs in a multidisciplinary environment. You will manage the execution of our engineering teams from PI Planning to released version, act as the primary bridge between Product and R&D, and own the delivery system – process, Jira tooling, automation and metrics.
What you'll do
R&D Delivery Leadership – Lead the execution of the engineering teams across HW, SW, FW and System workstreams; own delivery commitments, capacity planning and resource allocation to ensure predictable, cohesive delivery
PI Planning & Agile Cadence – Own the Program Increment (PI) cycle end to end – PI preparation, PI Planning events, PI objectives and commitments, mid-PI syncs, system demos and Inspect & Adapt; run Scrum-of-Scrums and cross-team syncs
Release & Version Management – Own the release plan and version roadmap; drive release readiness reviews, go/no-go decisions, release notes and the hand-off of integrated versions to production, customers and the field
Execution Management – Translate high-level roadmaps into PI objectives, epics and detailed plans, tracking milestones, dependencies, interfaces, resource loads and critical paths
Jira Ownership & Automation – Own Jira as the R&D system of record – project structure, issue hierarchy, workflows, Plans/Advanced Roadmaps, dashboards and automation rules; drive data hygiene and consistent tool adoption across all teams
AI-Enabled Delivery – Introduce and scale AI tools and practices across the delivery process – AI-assisted planning, status reporting, risk detection and knowledge management – to increase velocity and transparency
Metrics, Risk & KPIs – Define and publish delivery KPIs (PI predictability, velocity, flow, lead time, quality); proactively identify and escalate delivery risks early
External Integration – Lead technical and operational coordination with 3rd party partners and suppliers for strategic projects
Execution Forums – Run focused stand-ups, technical reviews, readiness checks and status meetings to keep the system moving
Continuous Improvement – Continuously evolve R&D delivery processes, removing bottlenecks and waste across the development lifecycle
Requirements
Bachelor’s degree in Engineering, or a related technical field
10+ years of experience in R&D delivery, program or technical project management, including leading engineering teams in multidisciplinary (HW / SW / System) companies
Agile at Scale (Mandatory) – Proven hands-on experience working in Agile with PI (Program Increment) methodology – running PI Planning, managing PI objectives and cross-team dependencies
Jira Expertise (Mandatory) – Full knowledge and administrative control of Jira – workflows, schemes, JQL, dashboards, Plans/Advanced Roadmaps and Jira Automation; strong Confluence skills
Automation & AI – Demonstrated experience implementing automation and AI tools and methodologies to improve delivery processes, reporting and team productivity
Release Management – Proven experience managing version releases and delivery cycles, including release readiness and version control
Technical Fluency – Ability to engage in technical discussions with engineers and evaluate effort estimations and complexity
Leadership & Cross-Functional Skills – Proven experience leading engineering teams and managing shared resources and external stakeholders in a matrix environment
Methodology – Practical experience with both Agile and Waterfall / hybrid methodologies, including hardware development cycles
Data Driven – Ability to master schedules, KPIs, dashboards and data-driven execution tracking