🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our team of 1,500 Personios is building user-friendly products that delight our 15,000+ customers and their 1.5 million employees. Ready to make an impact from day one? This role requires 2 days per week in the office and is based in Munich, Berlin, or Dublin. We empower Personio’s decision-making with advanced analytics and strategic insights, while boosting productivity through systems improvement and automation. Be part of our transformative journey in HR technology, where your contributions will shape our data-driven future. AI is changing what product analytics can do, and we want to lead that shift. As Head of - Product & Engineering Analytics, you’ll own our data strategy for Product & Tech (PTech) and lead the next chapter of product analytics at Personio: AI-first, agentic, and self-serve by design. You’ll partner closely with Product & Engineering leadership, and stay hands-on with the data yourself. This is a role for someone who wants to build the future of analytics, not just manage it. Role Responsibilities: What you‘ll do Lead the next chapter of PTech analytics: Build and embed AI-powered, agentic tooling into how PTech works with data, making self-serve insight generation and automation the default, not the exception. Own the data strategy: Define and drive the data & analytics strategy for Product & Tech, ensuring it evolves alongside how Personio builds products. Guide the product lifecycle with data: Define how data is leveraged at each stage of the product development lifecycle, from discovery and opportunity sizing through to post-launch impact measurement. Build metrics frameworks: Define and maintain the metrics frameworks PTech teams use to define and measure success. Partner with product leaders: Work hand-in-hand with Product & Engineering leadership to ground strategy and roadmap decisions in data. Change the culture: Foster a data & measurement-driven culture across PTech, raising the bar on data literacy and self-serve capability. Lead & stay close to the work: Build and develop a high-caliber analytics team, while remaining hands-on enough to prototype, model and analyse alongside them. Role Requirements: What you need to succeed 7+ years in analytics or data science, with at least 3 years experience leading a product analytics function (coaching, hiring, and growing teams) Direct, hands-on experience applying AI/LLMs to analytics workflows (e.g. natural-language querying, AI agents for insight generation, automated anomaly detection) that you’ve personally shipped, not just read about. Expert hands-on technical skills: SQL, Python/R, dbt or similar, plus fluency with BI tools (Looker, Tableau) and behavioral analytics platforms (Amplitude, Heap, Mixpanel). Snowflake experience is a plus. Strong track record defining metrics frameworks and success criteria for product organisations. Comfortable operating as a strategic partner to senior Product & Engineering stakeholders. Excellent communication skills, able to bring both technical and non-technical audiences along on a change agenda. Why Personio? Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race. Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work: Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years Make an impact on the environment and society with 1 (fully paid) Impact Day Receive generous family leave, child support, mental health support, and sabbatical opportunities. We follow an office-led, remote friendly approach, including opportunities to work from home and international locations. Many of our teams have designated days for gathering in the office to enhance collaboration and foster a sense of community. We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch.
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.