Incode
Engineering Manager
New
Serbia$142,000 – $238,0001h ago
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We're in the process of rapidly scaling our diverse global team and we're looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.
Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we're scaling fast — and we're looking for data professionals passionate about investigating data quality problems and building the systems that keep world-class ML models reliable.
As a Data Analyst on the ID Document Intelligence team , you'll investigate data quality issues, perform root cause analysis, and build the pipelines and automated checks that keep Incode's machine learning ecosystem reliable. You'll ensure that data flows efficiently and accurately through every stage of model training, labeling, and performance tracking.
Your work will be essential to maintaining the scalability, quality, and precision of Incode's document intelligence systems used by millions worldwide.
Root Cause Investigation — Independently investigate data quality issues end-to-end. When a model metric drops or data looks wrong, you own the investigation: forming hypotheses, querying across data sources, and delivering a clear, evidence-backed answer.
Automated Data Pipelines — Design, build, and maintain pipelines for collection, labeling, validation, and metric computation that support ML training and evaluation.
Data & Labeling Quality Standards — Establish and monitor consistency checks, accuracy audits, and root-cause analysis when issues impact model outcomes.
Model Evaluation Metrics — Define, implement, and automate evaluation metrics and reporting that reflect real-world product use cases and business goals.
Performance Tracking Systems — Build scalable dashboards and monitoring to enable fast, data-driven decisions across teams.
Workflow Orchestration — Develop and operate reliable orchestration (Airflow, Prefect, or similar) to schedule, observe, and troubleshoot end-to-end pipelines.
Clean, Maintainable Code — Write SQL and Python to efficiently investigate problems — querying databases, calling internal APIs, and processing data across multiple sources.
Cross-Functional Partnership — Partner closely with ML engineers, analysts, and product stakeholders to prioritize work by impact, unblock execution, and continuously improve internal tooling for analysis and evaluation.
Investigative mindset — You don't stop at the symptom. You chase data anomalies until you find the root cause, and you bring receipts.
Statistical intuition — You can tell the difference between a meaningful metric shift and noise, and you know how to prove it.
Builder's bias — You'd rather automate a check than run it manually for the third time.
Proactive ownership — You spot problems before anyone flags them, and you drive them to resolution without waiting for permission.
Clear communicator — You translate messy data into crisp answers that ML engineers, PMs, and leadership can act on.
3+ years of experience as a Data Analyst or in a similar data infrastructure role.
Strong SQL and Python skills for data investigation and root cause analysis.
Hands-on experience with AWS Redshift or a similar columnar/cloud database (BigQuery, Snowflake, etc.).
Solid statistical foundation — you can reason about rates, distributions, significance, and sampling bias.
Hands-on experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.).
Proven experience in data quality management, data preparation, or ML data pipelines.
A proactive mindset toward identifying problems.
Strong collaboration and problem-solving skills.
Background in mathematics, physics, or engineering .
Familiarity with big data technologies or data infrastructure optimization.
Experience with labeling workflows or ML data preparation pipelines.
Exposure to AWS or other cloud-based data solutions.
Interest in machine learning operations (MLOps) and scalable ML systems.
Mission with Meaning — Build systems that enable ethical, seamless identity verification for millions.
Rocket-Ship Growth — Join a company scaling globally with AI at its core.
Elite Team & Technology — Collaborate with top engineers and data scientists redefining document intelligence.
Ownership & Autonomy — Operate with end-to-end responsibility for impactful data pipelines.
Global Impact — Your work will power real-world AI experiences trusted by major enterprises.
Power a world of trust. Aspects of our Culture:
High performance
Freedom & responsibility
Context, not control
Highly aligned, loosely coupled
Learn more about Life at Incode !
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Qualifications: 3+ years experience, Data Analyst, SQL, Python, AWS Redshift, BigQuery, Snowflake, Airflow, Prefect, Dagster, Statistical foundation, Mathematics background, Physics background, Engineering background, Investigative mindset, Proactive ownership, Clear communicator, Collaboration skills, Problem-solving skills, Data quality management, Data preparation, ML data pipelines, Big data technologies (preferred), Data infrastructure optimization (preferred), Labeling workflows (preferred), ML data preparation pipelines (preferred), AWS (preferred), Cloud-based data solutions (preferred), Machine learning operations (MLOps) (preferred), Scalable ML systems (preferred), Flexible Working Hours, Flexible Workplace, Open Vacation Policy
Incode
Incode