Nice pay and work-life balance, but poor management interaction
Pros: Nice Pay Scale Work Life Balance Hybrid System
Cons: Management is not interactive with Employees.
View on Glassdoor
Sigmoid combines data engineering and AI consulting to help enterprises gain competitive advantage through effective data-driven decision-making. Some of the world's largest data producers are engaging with Sigmoid to solve complex business problems. Sigmoid's data professionals provide deep expertise in data engineering, cloud, machine learning, generative AI, and DataOps. Our Leadership: Lokesh Anand (CEO & Co-Founder) : Leads business growth strategy with day-to-day financial and operational management Mayur Rustagi (CTO & Co-Founder) : Digitally transforms enterprises by building modern data architectures that deliver business value. Rahul Kumar Singh (CAO & Co-Founder) : At the forefront of building innovative D&A strategies and large-scale digital transformation journeys. Recent Awards and Recognition: * "Recognized for the 2nd consecutive year as 'India Future Unicorn Award' by Hurun India 2024" * "Identified as a Rising Star in the 'Advanced Analytics and AI Services 2024 ISG Provider Lens™ Study' - U.S." * "Major Contender" and "Star Performer" in the Everest Group's PEAK Matrix Report Analytics and AI Specialists Services (2024) * "Sigmoid identified as a Rising Star in the 'Generative AI Services 2024 ISG Provider Lens™ Study' " * Deloitte's Technology Fast 500 Award for Fastest Growing companies in N.America (4x winner, 2020-2023) * Inc. 5000 Award for America’s Fastest-Growing Private Companies (3x winner, 2021-2023)
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What employees say
+ Nice Pay Scale Work Life Balance Hybrid System
− Management is not interactive with Employees.
Recent Glassdoor reviews · 905 total
Pros: Nice Pay Scale Work Life Balance Hybrid System
Cons: Management is not interactive with Employees.
View on GlassdoorPros: Work for 25 hours a day
Cons: Worst pay you will receive
View on GlassdoorPros: good environment and recomended for freshers
Cons: less pay good if they pay high
View on GlassdoorPros: Good environment, flexible timings, basic hikes
Cons: No cons as of now
View on GlassdoorPros: As a fresher you will get lot of opportunities to shine.
Cons: Bit down on Work Life Balance
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 794 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering Manager | India | 62.0 LPA | 45.0 LPA – 76.0 LPA | 8 |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 181 total · avg difficulty 3.0/5 · 186 questions indexed
The online assessment consisted of 8 easy to medium DSA problems and around 40 MCQS from the Aptitude and Computer science Fundamentals.There were three interviews after the online assessment. They mainly focused on DSA and the second preference was to Resume.
very good , 3 dsa question , light scene , the interviewer was very relaxed and did not ask very complicated questions and the interviewer made me feel relaxed . yes this is all
It was medium they asked questions from projects mentioned in resume an sql medium level question and then some core cs fundamental , it was an de role but in fte it was SDE
Time consuming . Didn't ask much busy on their on phone. Asking continuously more questions rather than focusing on what I was saying which. Was I guess bad and time waste why they interview when they don't want to hire in first place
The interview process consisted of 4 stages: OA Round, Technical Round 1, Technical Round 2, and HR Round. OA Round: Online assessment with coding questions and MCQs to evaluate problem-solving and basic CS concepts. Technical Round 1: Coding round focused on DSA and problem-solving. Questions were based on arrays, strings, linked lists, and basic algorithms. Technical Round 2: In-depth coding round with DSA and system design basics. Discussion focused on the approach, optimization, and time/space complexity. HR Round: Discussion about my background, projects, strengths, and career goals.
Sample questions
Top hiring roles: Engineering
Last updated 25 October 2026
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