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airSlate

No-code document workflow automation SaaS

Analytics Engineering Team Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in Poland

About the Job

Requirements

  • At least 5 years of experience in analytics, data, or business intelligence engineering, including at least 2 years leading a team or others technically.
  • Expert-level SQL and Python skills, including setting query and performance standards, rewriting expensive queries, explaining trade-offs, handling incremental loads, deduplication and slowly changing dimensions, and owning production Python components other teams depend on.
  • Experience designing warehouse and mart models used by multiple teams, including a semantic layer, and selecting an appropriate modeling methodology such as star schema or Data Vault. Ability to optimize and troubleshoot pipelines on cloud stacks such as AWS (Athena, Redshift, Glue) and orchestration tools such as Airflow.
  • Ability to establish branching and code review standards, require schema and data tests and continuous integration before release, and manage risky changes with clear rollout and rollback plans.
  • Ability to design data validation that detects problems early, address root causes, set documentation standards, and investigate unfamiliar sources before trusting them.
  • Ability to design solution options for complex problems, divide cross-team work into pieces with clear completion criteria, build decision-focused dashboards, and partner with business leaders.
  • Experience redesigning team workflows around artificial intelligence tools to drive adoption and evaluating artificial intelligence outputs for quality, privacy, and bias.
  • Ability to own complex team-level projects, make high-impact decisions using complex information, identify skill gaps and provide regular feedback, set clear scope expectations, and turn change into actionable team steps.
  • Fluent English communication, including clarifying complex ideas, building consensus across teams and time zones, and communicating fluently in English.

Responsibilities

  • Lead and grow the analytics engineering and web analytics team by setting priorities, coaching, and maintaining a steady delivery rhythm.
  • Own the semantic layer end-to-end by designing, building, and evolving 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; automate tracking checks and data-quality monitoring.
  • Set modeling conventions, version control, testing, release practices, and code review standards; partner with Data Business Partners, Data Science and Machine Learning, and Data Platform on scope and ownership; remain hands-on with critical builds.

Desired Qualifications

  • Experience with dbt or a similar transformation framework.
  • Experience with web analytics and tracking tools such as Google Tag Manager and Google Analytics 4.
  • Background in B2B SaaS or document workflow/e-signature.

About the Company

airSlate

No-code document workflow automation SaaS

AirSlate provides a SaaS platform for automating and managing document workflows without coding. It uses AirSlate WorkFlow, a no-code tool that connects hundreds of cloud apps to design, deploy, and track end-to-end document processes with a visual drag-and-drop interface. The platform differentiates itself by offering broad no-code workflow automation across many cloud services for multiple industries under a subscription model, avoiding custom development. Its goal is to help organizations digitize processes, automate repetitive tasks, and improve efficiency.

Company size
501-1,000
Company stage
Series C
Total funding
$211.5M
Headquarters
Brookline, MA
Founded
2006

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