Full-Time

Customer Success Manager

DataPelago

DataPelago

51-200 employees

Real-time big data analytics platform

No salary listed

Bengaluru, Karnataka, India

In Person

Category
Sales & Account Management
Required Skills
Microsoft Azure
Python
Apache Spark
SQL
Machine Learning
Java
Data Engineering
AWS
Scala
Databricks
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • Proven experience in customer-facing roles such as Customer Success, Solutions Engineering, Technical Account Management, or Post-Sales Consulting.
  • Strong technical acumen in Lakehouse platforms, data engineering, analytics, SQL, and AI/ML.
  • Hands-on expertise in public cloud platforms (AWS, Azure, GCP) and common data tools (Spark, Python, Scala, Java).
  • Ability to clearly communicate complex technical concepts to both technical and business audiences.
  • Experience with onboarding, driving adoption, and demonstrating ROI in enterprise software environments.
  • Excellent collaboration and stakeholder management skills.
  • Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
Responsibilities
  • Serve as the primary post-sales point of contact and advocate for customers, ensuring a seamless onboarding and implementation process.
  • Build deep relationships with technical and business stakeholders to align product capabilities with customer goals.
  • Drive product adoption and usage, delivering measurable business outcomes that demonstrate the value of DataPelago.
  • Proactively identify risks to customer success and create strategies to mitigate churn while maximizing growth opportunities.
  • Partner with sales, product, and engineering teams to communicate customer feedback and drive continuous product improvement.
  • Guide clients in co-existing and integrating DataPelago alongside other analytics engines (e.g., Databricks, Snowflake, Dremio) within Lakehouse environments.
  • Conduct product walkthroughs, knowledge transfer sessions, and enablement workshops for technical and non-technical teams.
  • Support the development of customer reference architectures and case studies based on successful deployments.
  • Collaborate with system integrators, consultants, and other partners to ensure joint success in complex enterprise environments.
  • Mentor junior team members and contribute to the overall growth of the Customer Success team.
  • Handling escalations and production issues
  • funneling improvements from bugs encountered in customer environment to bug fixes, features and supportability enhancements in the product.
Desired Qualifications
  • Master’s degree in Computer Science, Engineering, or a related field (preferred).
  • Location: Bangalore (on-site)

DataPelago provides real-time analytics that turn data of any size, speed, or structure into instant insights. It ingests diverse data sources and formats and processes them to deliver actionable analytics without batch waits. The platform combines scalable ingestion, high-performance processing, and fast querying, available via subscription and enterprise solutions. Its goal is to deliver instantaneous, reliable insights to help organizations make faster, better-informed decisions while optimizing performance and cost.

Company Size

51-200

Company Stage

Early VC

Total Funding

$55M

Headquarters

Sunnyvale, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $47M in October 2024 from Eclipse Ventures, Qualcomm Ventures.
  • Delivers 10x faster processing at 2-3x lower costs.
  • Proven pilots with Samsung SDS validate rapid value realization.

What critics are saying

  • Snowflake, Databricks integrate optimizations, eliminating differentiation in 12-18 months.
  • Hyperscalers AWS, Azure build native engines, blocking market access in 18-24 months.
  • $47M funding depletes in 18-24 months without $10M ARR, forcing down-round.

What makes DataPelago unique

  • Universal Data Processing Engine accelerates any engine on GPUs, FPGAs, CPUs.
  • Dynamically generates code for CUDA, ROCm, FPGAs at runtime.
  • Zero application changes or vendor lock-in for lakehouse analytics.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Remote Work Options

Hybrid Work Options

Flexible Work Hours

Paid Vacation

Paid Holidays

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Professional Development Budget

Conference Attendance Budget

Wellness Program

Mental Health Support

Gym Membership

Phone/Internet Stipend

Home Office Stipend

401(k) Retirement Plan

401(k) Company Match

Stock Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

1%

2 year growth

3%
RTInsights
Oct 6th, 2024
Real-time Analytics News for the Week Ending October 5

DataPelago unveiled a Universal Data Processing Engine to accelerate any engine, including open source, on any hardware, using any data type.

Blocks and Files
Oct 3rd, 2024
DataPelago unveils software accelerator for GenAI and lakehouse analytics

DataPelago has raised more than $75 million in VC funding through a 2021 seed round for $8 million, a 2022 $20 million A-round, and a $47 million venture round just this month.

SiliconANGLE Media
Oct 1st, 2024
DataPelago raises $47M to optimize hardware for analytical workloads

DataPelago raises $47M to optimize hardware for analytical workloads - SiliconANGLE