airSlate

analytics engineering manager for data enablement

In short

This lead-level role at airSlate, a global no-code workflow automation and e-signature SaaS company, is responsible for building and leading an analytics engineering and web analytics team and owning the semantic layer end-to-end. It requires 5+ years in analytics/data/BI engineering with 2+ years leading a team, expert SQL and Python, and hands-on experience with cloud data stacks (AWS Athena/Redshift/Glue), orchestration (Airflow), and data quality/testing standards. The work is fully remote, full-time.

About
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Its products serve hundreds of millions of users and more than one million customers worldwide, helping organizations digitize processes and improve efficiency.
Responsibilities
•Lead and grow the team
•Set priorities, coach, and maintain a steady delivery rhythm across analytics engineering and web analytics
•Own the semantic layer end-to-end
•Design, build, and evolve SQL-based models and metric definitions across products
•Move the team from ad hoc requests to reusable, tested, documented datasets that people and the AI data assistant can query directly
•Automate tracking checks and data-quality monitoring
•Set modeling, version control, testing, release, and code review standards
•Partner with Data Business Partners, Data Science / ML, and Data Platform on scope and ownership
•Stay close to the code on critical builds
•Design solution options for complex problems and break cross-team work into pieces with a clear definition of done
•Build dashboards around the decisions they support
•Redesign team workflows around AI tools and evaluate AI outputs for quality, privacy, and bias
•Communicate complex ideas, build consensus across teams and time zones, and partner with business leaders
Requirements
•5+ years in analytics, data, or BI engineering, including 2+ years leading a team or leading others technically
•Expert SQL and Python skills
•Experience setting query and performance standards, rewriting expensive queries, handling incremental loads, deduplication, and slowly changing dimensions
•Experience owning production Python components used by other teams
•Experience designing warehouse and mart models, including a semantic layer, and selecting suitable modeling methodologies
•Experience optimizing and troubleshooting pipelines on a cloud stack such as AWS (Athena, Redshift, Glue) and orchestration tools such as Airflow
•Experience setting branching and code review standards, requiring schema and data tests and CI before release, and leading risky changes with rollout and rollback plans
•Experience designing data validation, fixing root causes, setting documentation standards, and investigating unfamiliar data sources
•Ability to make high-impact decisions, coach people, identify skill gaps, give regular feedback, set scope expectations, and turn change into actionable steps
•Fluent English
Nice to have
•dbt or a similar transformation framework
•Web analytics and tracking (GTM, GA4)
•B2B SaaS or document-workflow / e-signature background
Conditions
•Competitive compensation based on local market conditions and experience, a performance-based bonus system, and stock options
•Professional development through courses, conferences, and learning resources; career growth and internal mobility
•Country-specific benefits, including health coverage, wellness programmes, and fitness options
•Quarterly company-wide Mental Health Days
•Family-friendly flexibility, airSlate Junior Club for kids, company-wide family days, and a pet-friendly approach
•Charitable initiatives through the airSlate Care programme, including humanitarian aid in Ukraine and other regions, matching employee donations, and supporting causes chosen by teams
•Flexible working environment; work from offices in the United States, Poland, Romania, or Ukraine, or remotely from many countries
•Equal employment opportunity; accommodations are available upon request during the application process
•Qualified applicants with arrest and conviction records will be considered where applicable by law

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