PushPress

PushPress

PushPress is a top-rated gym management software that provides automated solutions for fitness businesses. With features like billing, membership management, workout tracking, and lead engagement, PushPress aims to simplify and streamline gym operation...

Hotels, Restaurants & Leisure
51-200
Founded 2011
$12M raised

Description

  • Ensure reporting data is fresh, accurate, traceable, and reliable for gym owners, internal teams, and Board reporting.
  • Design and operate the end-to-end data platform, including ingestion, storage, governance, extraction, and access monitoring.
  • Set data freshness and uptime standards, participate in incident response, and resolve root causes of data issues.
  • Unify product, payment, and third-party data to create a complete view of gym and member journeys.
  • Partner with Engineering to establish clean data practices, catch breaking changes before release, and simplify data flows.
  • Implement privacy, security, auditing, and access controls for gym and member data, including AI-agent access.
  • Build processes to fulfill privacy requests while preserving financial reporting and audit requirements.
  • Provide governed, consistent business definitions and data context for AI Assistant, AI Member Intel, and AI reporting.
  • Enable teams to safely self-serve data answers through AI with clear cost and access limits.

Requirements

  • 5+ years of experience in data engineering, data platforms, data infrastructure, or software engineering, including end-to-end ownership of production infrastructure.
  • Experience with cloud data warehouses at scale, including performance tuning, cost management, RBAC, masking, and schema design.
  • Strong Python and SQL skills, with software engineering practices such as testing, CI/CD, code review, and infrastructure as code using Terraform.
  • Experience operating an orchestration platform such as Airflow or Dagster in production.
  • Experience with managed ingestion tools such as Hevo or Fivetran and custom pipelines, including CDC, streaming, or event-driven architecture.
  • Experience building data quality checks, alerting, and documented runbooks using tools such as Monte Carlo or Elementary.
  • Daily practical use of AI, including building a relied-on workflow and implementing checks for incorrect outputs.
  • Experience with real-time analytics databases such as ClickHouse and understanding when to use them versus a data warehouse.
  • Knowledge of GDPR, CCPA, or PCI privacy and governance requirements, including access, auditing, retention, and deletion.
  • Experience collaborating in TypeScript codebases; familiarity with semantic layers, retrieval, AI evaluations, data contracts, CDPs, and identity resolution is preferred.

Benefits

  • Equity Incentive Plan.
  • Flexible paid time off and public holidays.
  • Medical, dental, and vision health coverage.
  • Company-sponsored 401(k) retirement plan with matching.
  • Life insurance.
  • Maternity and paternity leave.
  • Work-from-home stipend.
  • Wellness stipend.

Interested in this position?

Apply directly on the company website

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