The role involves building and improving data engineering solutions, designing ETL/ELT pipelines, and working with data modeling, warehousing, and cloud platforms to support influencer marketing at Influur.
About Influur
We're building the world's first viral agent. An AI purpose built for influencer marketing.
Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention.
Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today.
Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat. Everyone else has one or the other. We have both.
Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now.
What we're looking for: Young talent ready to go all in. We're offering significant equity to people who want to build something that matters. This isn't a job. It's an opportunity to define the future of AI in influencer marketing and own a meaningful piece of it.
Your Skillset
- Strong programming with Python and SQL.
- Comfortable building from scratch and improving existing code.
- Expertise in data modeling and warehousing, including dimensional modeling and performance tuning.
- Experience designing and operating ETL and ELT pipelines with tools like Airflow or Dagster, plus dbt for transformations.
- Hands-on with batch and streaming systems such as Spark and Kafka, and with Lakehouse or warehouse tech on AWS or GCP.
- Proficiency integrating third-party APIs and datasets, ensuring reliability, lineage, and governance.
- Familiarity with AI data needs: feature stores, embedding pipelines, vector databases, and feedback loops that close the gap between model and outcome.
- High standards for code quality, testing, observability, and CI. Comfortable with Docker and modern cloud infra.
You’re the Type Who
- Treats data as a product and ships improvements that users feel.
- Moves fast without breaking trust. You value contracts, schemas, and backward compatibility.
- Owns problems across the stack, from ingestion to modeling to serving.
- Communicates clearly with ML engineers, analysts, and business partners.
- Experiments, measures, and iterates. You set measurable SLAs and keep them green.
- Sees ambiguity as a chance to design the standard everyone else will follow.
What We Offer
• Competitive equity in a venture-backed company shaping the future of music influencer marketing.
• A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny), with our tech, support, and strategic guidance.
• Access to elite tools, AI copilots, and a team that builds daily at top speed.
• Hybrid flexibility.
Top Skills
Airflow
AWS
Dagster
Dbt
Docker
GCP
Kafka
Python
Spark
SQL
Similar Jobs
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
The Data Engineer will create and maintain data pipelines for real-time analytics, supporting business decisions and operational processes in NBCUniversal's Data ecosystem.
Top Skills:
Apache AirflowApache BeamApache FlinkSparkAWSC++DockerGoogle BigqueryGoogle BigtableGoogle Cloud PlatformGoogle Pub/SubJavaKafkaKubernetesSnowflakeSQL
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead the development of AI platforms, focusing on modern data engineering, ETL processes, data governance, and cross-functional collaboration to enhance scalability, efficiency, and reliability.
Top Skills:
Apache AirflowSparkAutogenAws GlueAzure Data FactoryBigQueryClouderaCrewaiDbtFlinkHadoopKafkaLangchainNifiOraclePythonSnowflakeSQL
Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software • Automation
As a Data Engineer, you'll transform data streams, build data models, maintain metrics governance, and enable analytics for diverse teams while ensuring data quality and reliability.
Top Skills:
AirflowApache HudiApache IcebergAWSBigQueryClickhouseDeltalakeDockerKubernetesPythonRedshiftSnowflakeSparkSQLTerraform
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
