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Acryl Data

Software Engineer, Customer Success

Reposted 5 Days Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
The Software Engineer will provide technical support for customer onboarding and product adoption, create product features, and ensure customer retention through proactive engagement.
The summary above was generated by AI

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.

The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.

We are looking for a Software Engineer with Python expertise to guide customers with technical onboarding and product adoption. As part of the role, you may help build new product features, develop custom scripts, or provide product training to address customer needs. This is a hybrid role where you are part of Customer Success but will work closely with the Engineering, Product, and Ingestion teams.

As a Software Engineer, you will have the opportunity to shape the Customer Success function and work with a collaborative and tight-knit team. Acryl Data is committed to building a diverse and inclusive environment and offers competitive salaries, health benefits, and generous stock options.

Key Responsibilities

  • Provide advanced technical support via multiple channels (Slack, ZenDesk, Zoom).
  • Troubleshoot and resolve technical issues promptly.
  • Collaborate with product engineering teams to resolve complex customer problems.
  • Deliver proactive customer success initiatives, including onboarding, training, and ongoing product optimization as required.
  • Monitor customer health metrics and help drive retention by identifying patterns of usage and product gaps.

Qualifications

  • 5+ years of experience in software engineering or data engineering
  • Expertise in Python and experience working with the modern data stack, data pipelines, and ELT processes in an enterprise environment
  • Expertise in SQL, modern data warehouses, transformation tools, and BI tools such as Snowflake, BigQuery, dbt, Airflow, Tableau, Looker, etc
  • Excellent communication and interpersonal skills
  • Passion for helping customers
  • Comfortable working in a fast-paced startup environment
  • Bachelor's degree in Computer Science

This position is open to candidates in all time zones of the United States and Europe and can be done remotely. 

Benefits
  • Competitive salary
  • Equity
  • Medical, dental, and vision insurance (99% coverage for employees, 65% coverage for dependents; USA-based employees)
  • Carrot Fertility Program (USA-based employees)
  • Work from home and monthly co-working space budget

Top Skills

Airflow
BigQuery
Dbt
Looker
Python
Snowflake
SQL
Tableau

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