Join the team
where technology
meets finance.
We’re building the infrastructure that lets the world’s most demanding institutions train AI without ever touching real records.
Warsaw · Remote Global
5 Open Roles
NDA from Day One
Engineering
Machine Learning Engineer
What You’ll Work On
Design and implement probabilistic models for synthetic data generation (GANs, VAEs, diffusion models).
Build and maintain our UTGAN and ARA neural architectures for tabular data synthesis.
Implement DP-SGD and differential privacy mechanisms that meet formal mathematical guarantees.
Validate statistical fidelity using Wasserstein distance, KS tests, and domain-specific metrics.
What We’re Looking For
Strong background in probabilistic ML — Bayesian inference, generative models, uncertainty quantification.
Production experience with PyTorch or JAX.
Understanding of differential privacy and formal privacy guarantees.
Experience with tabular data — financial, healthcare, or enterprise datasets preferred.
Apply with CV + brief note on your experience with generative models.
Apply Now
Engineering
Software Engineer — Backend
What You’ll Work On
Architect and build the scalable backend infrastructure powering Northhaven Hub.
Design REST APIs and webhook systems for enterprise MLOps integrations (AWS, Azure, GCP, Databricks).
Build token management, generation queuing, and async job processing systems.
Own infrastructure reliability, observability, and deployment pipelines.
What We’re Looking For
5+ years backend engineering — Python, Go, or Rust preferred.
Experience designing high-throughput distributed systems at scale.
Strong understanding of cloud-native architecture (Kubernetes, Docker, serverless).
Familiarity with data pipeline tooling — Spark, Kafka, Airflow.
Apply with CV + GitHub profile or relevant architecture examples.
Apply Now
Research
Quantitative Researcher
What You’ll Work On
Bridge the gap between financial domain logic and ML model design.
Design stress scenario parameters for our Scenario Engine (rate shocks, liquidity crises, ESG shocks).
Build and validate sector-specific schema templates for Finance, Insurance, Energy, and Real Estate.
Work directly with institutional clients to translate their risk frameworks into synthetic data specs.
What We’re Looking For
Background in quantitative finance, financial mathematics, or econometrics.
Hands-on experience with credit risk, IFRS9, market risk, or actuarial modeling.
Comfortable working in Python with pandas, NumPy, and statistical testing libraries.
Ability to communicate complex quantitative concepts to non-technical stakeholders.
Apply with CV + brief description of a quantitative project you’ve led.
Apply Now
Compliance
Data Privacy Specialist
What You’ll Work On
Own GDPR, HIPAA, and EU AI Act compliance across all Northhaven products and client deployments.
Design and maintain our automated Compliance Report framework.
Support enterprise clients in navigating regulatory approvals for synthetic data use cases.
Work with the ML team to ensure our DP-SGD implementations meet formal privacy guarantees.
What We’re Looking For
Deep practical knowledge of GDPR, CCPA, and sector-specific regulations (HIPAA, FCA, EBA).
Understanding of privacy-enhancing technologies — differential privacy, pseudonymization, anonymization.
Experience working with DPOs, legal teams, and regulators in financial or healthcare sectors.
Ability to translate technical privacy guarantees into plain-language documentation for clients.
Apply with CV + example of compliance framework you’ve built or contributed to.
Apply Now
Sales
Enterprise Sales Executive
What You’ll Work On
Own the full enterprise sales cycle — from outbound prospecting to contract close at banks, funds, and FinTechs.
Build and manage relationships with CTOs, Chief Data Officers, and Head of Risk at institutional clients.
Run technical discovery sessions and position Northhaven’s synthetic data infrastructure against client pain points.
Collaborate with the engineering team to scope and price custom enterprise deployments.
What We’re Looking For
3+ years B2B enterprise sales — deep tech, data infrastructure, or financial software preferred.
Proven track record closing six-figure deals with financial institutions or enterprise technology buyers.
Comfortable discussing ML infrastructure, compliance frameworks, and data architecture at a technical level.
Existing network in FinTech, banking, or private equity is a strong advantage.
Apply with CV + brief note on your largest enterprise deal closed.
Apply Now
Don’t see your role?
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If you think you belong here but don’t see the exact right opening — send us an email. We’re always interested in exceptional people who understand where finance and deep tech intersect.
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