Augmodo Logo

Augmodo

Data Operations Lead

Posted 4 Days Ago
Remote
Hiring Remotely in United States
140K-160K Annually
Senior level
Remote
Hiring Remotely in United States
140K-160K Annually
Senior level
The Data Operations Lead oversees the data operations lifecycle, ensuring data quality and reliability, managing teams, and communicating operational status to leadership.
The summary above was generated by AI

At Augmodo, we build computer vision and spatial AI products that help retailers understand exactly what is happening within their physical stores. Our systems depend on high-quality, reliable, real-world data; our Data Operations team is the backbone that makes this possible.

The Role

As the Data Operations Leader, you will own the end-to-end data operations lifecycle—from process definition through execution, quality control, and continuous improvement. You will ensure that the data powering our products is accurate, efficient to produce, and operationally reliable at scale.

This is a hands-on leadership role where you will act as the operational bridge between local data collection, labeling teams, and product/engineering. You will be responsible for translating real-world constraints into scalable systems and measurable outcomes. We are looking for a leader who has grown from personally annotating data for shipped computer vision models to leading a global data ops organization. This individual will manage a multi-faceted talent pool of distributed teams, leveraging 'in the trenches' experience to collect and annotate data at scale for globally generalizing models.

Key Responsibilities

Strategic Communication & Leadership
  • Provide clear, concise, and continuous communication to executive leadership regarding operational status, progress, blockers, and future plans.

  • Establish clear ownership, standards, and accountability across data collection, labeling, and quality control (QC).

  • Maintain accountability for the accuracy, efficiency, and reliability of all data used across Augmodo’s products.

Quality Control & Multi-Loop Labeling
  • Own all data operations workflows end-to-end, managing both online and offline loops.

  • Online Loops: Oversee real-time Quality Control (QC) processes, standards, and metrics.

  • Offline Loops: Manage Data Annotation, Targeted Collections, and Accuracy Visits to ensure long-term model reliability.

  • Manage the full QC lifecycle, including audits, error analysis, feedback loops, and corrective actions.

  • Oversee operational resources and workflows to ensure consistent, high-quality output.

Data Validation & Internal Data Models
  • Execute and refine processes and data models used to validate internal datasets, including planograms, product catalogs, store images, and store-level metadata.

  • Partner closely with product and engineering to ensure validation logic aligns with production usage.

Field Data Validation
  • Lead field data validation initiatives, including coordinating real-world verification in physical stores.

  • Partner with leadership to design measurement systems and observability metrics that surface quality issues early

Tooling, Assets, and Pipelines
  • Own the asset management system and internal data pipelines.

  • Partner with engineering to identify tooling gaps, improve operational efficiency, and scale workflows.

  • Prioritize and shape tooling improvements based on real operational pain points.

Requirements:
  • 5 years experience leading data operations, data labeling, QA/QC, or similar operational workflows.

  • 3 years of management experience.

  • Strong operational mindset with the ability to design processes and execute them.

  • Comfortable working cross-functionally with product, engineering, and field teams.

  • Experience working with real-world, messy data (images, catalogs, physical environments).

  • You have personally annotated data for shipped computer vision models.

  • Bias toward ownership, accountability, and measurable outcomes.

  • Bachelor's Degree

Augmodo offers benefits inclusive of medical, dental, vision and 401k

The salary range for this role is $140,000 - $160,000 +equity

Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Top Skills

Computer Vision
Data Labeling
Data Operations
Quality Control

Similar Jobs

11 Days Ago
Remote
United States
200K-250K Annually
Senior level
200K-250K Annually
Senior level
Machine Learning • Software
Lead Data Operations team in evolving from SQL to modern data pipelines using Airflow and Spark, ensuring operational excellence and mentoring team members.
Top Skills: AirflowAzure)Cloud (AwsElk StackGCPSparkSQL
19 Days Ago
Easy Apply
Remote
USA
Easy Apply
Senior level
Senior level
Mobile • Software
The Data Platform Operations Lead will drive operational excellence and performance optimization for an AlloyDB-based platform in a FedRAMP High environment, providing hands-on leadership in PostgreSQL and GCP services and overseeing technical operations.
Top Skills: AlloydbBigQueryCloud FunctionsDataflowDataplexGoogle Cloud PlatformInfrastructure As CodePostgresPub/Sub
25 Days Ago
In-Office or Remote
125K-175K Annually
Senior level
125K-175K Annually
Senior level
Energy
The role involves analyzing operations metrics, monitoring data, creating scorecards, leading meetings, and providing data-driven recommendations for improvement.
Top Skills: AccessExcelMicrosoft Office SuitePower BIPowerPointRSQLVBAVisioWord

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account