Good work-life balance but limited promotion opportunities
Pros: Good work life balance Pay scale is ok Good learning opportunities
Cons: No promotion Manager centric Steady growth
View on Glassdoor
Springernature headquartered in Heidelberg, Germany has 1 active tech role on Feedback AI with AI match scores, optional skill assessments, and company insights when Glassdoor enrichment exists. Candidates browse open listings on this profile; signed-in users see ranked fit and skill gaps per role. Employers post jobs and review match-ranked applicants on the same platform.
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What employees say
+ Good work life balance Pay scale is ok Good learning opportunities
− No promotion Manager centric Steady growth
Recent Glassdoor reviews · 1,727 total
Pros: Good work life balance Pay scale is ok Good learning opportunities
Cons: No promotion Manager centric Steady growth
View on GlassdoorPros: Excellent work-life balance, strong exposure to modern automation tools and CI/CD practices, collaborative and supportive team culture, opportunity to independently lead automation framework initiatives and drive quality strategy.
Cons: Limited visibility into career progression paths, compensation benchmarks could be more competitive for senior automation specialists in the market.
View on GlassdoorPros: Flexible work culture with hybrid/remote options Good learning opportunities through internal tools, training programs, and cross-functional exposure Meaningful work contributing to scientific and scholarly communication Global exposure working with international authors, editors, and stakeholders Decent work-life balance
Cons: Can't find as of now
View on GlassdoorPros: Good salary, culture, timing, hybrid
Cons: No growth, phd required, team leader
View on GlassdoorPros: Good work life balance Handsome salaries Hybrid working Employees centric policies
Cons: Employee layoffs in recent time.
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Senior ML Engineer (AI) | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 97 total · avg difficulty 2.9/5 · 112 questions indexed
Employer reviews the candidate’s résumé/CV, cover letter, or application form. Automated systems (ATS) may filter candidates based on keywords and qualifications. A recruiter or HR may reach out via email or phone. Sometimes involves a phone screening to confirm basic details like skills, experience, salary expectations, and availability.
The interview was intense yet rewarding—deep technical questions, rapid-fire scenarios, and a sharp focus on valuation. Confidence, clarity, and composure were key to navigating pressure and showcasing value. The VP challenged my assumptions, testing real-world application of financial concepts. It wasn’t just theory—they wanted business sense, commercial acumen, and the ability to defend valuations convincingly
Sample questions
They first took an English round. Then they trained for 1 hour and then took a technical round on it. Then whoever cleared it went to manager round and later to HR round.
Sample questions
HR interview followed by Panel Interview. The HR asked basic questions regarding education and why I was interested. Few days after that, my panel interview was scheduled. And got to know of the selection almost a week after the interview. Was a great experience.
Sample questions
First round was the coding test followed by the technical discussion and Managerial round. I would say interview process was not that difficult and process was smooth. questions are related to core java, data structure, oops concepts, SOLID.
Sample questions
Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.
Last updated 19 September 2026
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