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About Wing: Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. About the Role: Wing is looking for a Data Scientist Manager, Engineering to join our SimEval team. This role is hybrid based in Palo Alto, CA . As Wing scales its autonomous drone delivery fleet, the volume of simulation and real-world operational flight data is growing exponentially. To accelerate R&D, while maintaining our ability to operate reliability at scale, we are looking for a Data Scientist Manager, Engineering to join the SimEval team. This role will operate at the intersection of engineering, simulation, and analytics, bridging the gap between operational data and our technical roadmap. In this role, you will lead the System Evaluation team that connects operations and engineering, transforming real-world data into actionable insights that inform engineering direction and ensure scalable and reliable systems. What You’ll Do: Lead, coach, and grow a team of technical data analysts responsible for distilling complex data into actionable recommendations that inform engineering direction and ensure scalable, reliable systems. Design and deliver the evaluation workflows, automated triage strategies, and analysis algorithms that aggregate engineering metrics into actionable feedback for engineering leadership. Define the metrics, acceptance criteria, and success thresholds that govern our continuous software releases. Develop new statistical methods and data pipelines to quantify performance and identify behavioral regressions across our operational domains. Connect real-world operational findings directly to the engineering roadmap, and leverage simulation to predict performance of the system with new features and releases. Partner closely with engineering teams, flight operations and the Analytics team to turn business metrics into clear insights that drive the technical roadmap and root-cause analysis of system degradation. What You’ll Need: 8+ years of experience in data analytics, data science, or operational analysis, including 3+ years of experience directly managing and growing analytical teams. B.S or M.S degree or equivalent practical experience in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. Proven experience analyzing complex hardware/software systems, robotics, or massive simulation environments. Proven ability to design and implement robust data pipelines, dashboards, and automated alerting systems from the ground up. Expertise in applied statistics, experiment design, and A/B testing, with a strong track record of using these methodologies to quantify system performance. Strong programming and data querying skills using Python, SQL, or R to manipulate massive datasets and extract actionable insights. Exceptional ability to translate complex data into clear narratives, presenting analytical findings effectively to engineering partners and organizational leadership. The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. Salary Range $228,000 — $242,000 USD Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.