Antenna Group logo
Antenna Group

An international content, media and entertainment company with a leading presence in Central & Eastern Europe.

VP, Engineering

Software EngineerSoftware EngineerFull TimeRemoteLeadTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

66 days ago

Salary

$250K - $300K / year

Seniority

Lead

Job Description

VP, Engineering

Antenna Group

• Deliver our Product Roadmap: Translate product vision into a technical strategy with clear sequencing (now/next/later). Execute the roadmap through a highly accountable team, balancing immediate product velocity with the management of technical debt to ensure our ability to scale long-term. • Cultivate Talent, Partnerships, and Communication: Lead a high-performance team of Engineers in deep partnership with Product Management, Data Science, and Data Operations. • Facilitate an Engineering and Data Science partnership that turns R&D, such as ML models, into production features. Do this with speed to minimize the lag between innovation and deployment. • Support internal analytics users such that they can configure, query, and QA our data efficiently, so we can release best-in-class analytics products. • Communicate complex technical topics clearly to both subject matter experts and non-technical generalists to align stakeholders and manage incentives across the organization. • Architect our data platform for both today and the future: Guarantee our data infrastructure is reliable, performant, and solves specific business questions. • Ensure we are managing the tradeoffs between short-term and long-term technical strategy decisions. • Focus both on the data infrastructure that allows us to deliver customer value as well as the specific insights & analytics we provide on top of that infrastructure. • Lead AI Initiatives: Direct Antenna’s AI strategy. Implement AI technologies to enhance internal productivity, scale data collection & cleansing, and improve customer interfaces.

Job Requirements

  • Expert understanding of modern data stacks, including cloud data warehouses, ETL/ELT, orchestration, streaming, and analytics layers.
  • Experience designing warehouses and pipeline architectures including handling migrations and able to articulate the trade-offs of different design choices clearly.
  • Expert skills in SQL, Python, GCP/BigQuery, ML Ops, Databricks/Snowflake, and dbt. Understands distributed data processing (Spark), software engineering design, and data modeling concepts.
  • Experience scaling early-stage technical organizations; ability to zoom into a specific technical problem and zoom out to define long-term strategy within the same day.
  • Have worked closely with Data Science teams to productionize R&D. Have direct experience with analytics products, and a deep passion not only for the architecture but also the business logic.
  • Managed remote and nearshore teams effectively while maintaining a unified "one team" culture across different geographies.
  • Built products that utilize data enrichment and privacy frameworks, such as clean rooms and data sharing compliance.
  • Experience in maximizing team output by structuring and resourcing teams across parallel priorities (i.e. squads).
  • Experience maintaining productive relationships with technical and non-technical stakeholders, and founders and executives.
  • Strong point of view on how to best leverage AI technologies to accelerate development velocity while maintaining high product quality.

Benefits

  • Work from anywhere in the US
  • Competitive base salary
  • Meaningful stock options
  • Full healthcare benefits
  • Unlimited PTO + closed last week of December
  • 401k plan with no waiting period
  • Home Office Set Up reimbursement
  • Monthly co-working reimbursement
  • Monthly Health & Wellness reimbursement
  • Parental Leave policy
  • And more!

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