lakeFS Acquires DVC, Uniting Data Version Control Pioneers to Accelerate AI-Ready Data
Pre-Sales Solution Engineer
Mission
Imagine a world without version control for code – that’s the reality for most data today. As AI-driven applications demand more robust, scalable, and high-quality data pipelines, traditional data management struggles to keep up. lakeFS changes the game by bringing powerful version control to data lakes, unlocking new capabilities for AI and data engineers, building resilient pipelines for AI platforms, machine learning, business intelligence, and other advanced data use cases.
Used by thousands of organizations worldwide, from nimble startups to Fortune 500 giants, many of them taking advantage of lakeFS’s commercial offerings (Enterprise and Cloud) – lakeFS enables companies to streamline data collaboration and ensure data quality with a rich layer of version control.
About the Role
We are seeking a highly skilled Enterprise focused Pre-Sales Solution Engineer to join our team. The ideal candidate will have a deep understanding of the technical aspects of our products and be able to provide expert guidance to our sales team during the pre-sales process. The Pre-Sales Solution Engineer will be responsible for providing technical and functional support to our clients, including product demonstrations, proof-of-concept presentations, and other technical materials. They will also work closely with our development team to ensure that client requirements are fully understood and integrated into our products.
What you'll do
- Own the technical win from discovery through demo, architecture design, pilot/POC, security review, and a clean handoff to Customer Success.
- Design and present tailored demos that showcase branch‑based workflows, reproducible experiments, schema‑safe changes, and instant data rollback.
- Scope and execute pilots with clear success criteria; create sample repos, notebooks, and automation (Spark/Databricks jobs, Airflow DAGs, CI pipelines) that prove value quickly.
- Build reference architectures for lakeFS OSS and Cloud across AWS/Azure/GCP; document IAM roles, private networking, scaling, GC/performance tuning, and disaster recovery.
- Answer deep technical questions as a lakeFS SME.
- Handle RFPs and security questionnaires; map controls to customer requirements and recommend compliant deployment patterns.
- Partner with sales to quantify business impact (risk reduction, developer velocity, storage efficiency) and co‑create the ROI/TCO narrative with champions.
- Create reusable field assets: demo datasets, scripts, diagrams, reference guides, and enablement content for sellers and partners.
- Feed product insights back to Engineering; file issues, validate fixes, and shape the roadmap with real‑world customer needs.
- Evangelize lakeFS at meetups, webinars, and conferences; provide technical enablement for partners and solution integrators.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in a technical pre-sales or solution engineering role, preferably in the software industry.
- Excellent verbal and written communication skills, with the ability to deliver technical presentations to both technical and non-technical audiences.
- Hands-on experience with Kubernetes and containerized environments.
- Experience leading client workshops, sales enablement sessions, and technical training.
- Ability to work independently as well as collaboratively across sales, product, and engineering teams.
- Excellent problem-solving skills and a creative approach to architecting solutions.
- Experience in technical sales of open source products is preferred.
- Strong understanding and hands-on experience in the Data & AI ecosystem, including:
- Data lake and data warehouse technologies (e.g., S3, Delta Lake, Iceberg, Hive, Glue, Snowflake)
- Data processing frameworks (e.g., Spark, Databricks, Flink, Trino, Presto)
- Data orchestration and CI/CD tools (e.g., Airflow, dbt, GitHub Actions)
- Concepts in data governance, reproducibility, and ML/AI workflows
About the company
lakeFS is a scalable data version control system that manages data the way one manages code. Using a Git-like model, lakeFS brings software engineering best practices to data, AI and ML projects – enabling safe development and testing, early error detection, and reproducible results. This approach streamlines collaboration, reduces operational overhead and supports compliance, auditing, and consistent standards across data silos – empowering data practitioners to deliver projects faster, with greater confidence. lakeFS is trusted by AI/MLOps teams, data engineers, and data scientists across thousands of organizations including Arm, Bosch, Lockheed Martin, NASA, Volvo, and the U.S. Department of Energy.
