DataHub, built by Acryl Data, 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.
Remote first. We're a fully distributed company, and our interaction culture is deliberately mixed between meeting culture and written. We're writing heavy because it forces clarity of thought; we have plenty of synchronous time to give space for collaborative ideation.
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)
- Remote friendly
- Work from home and monthly co-working space budget
Top Skills
Similar Jobs
.png)
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
