Middesk

Data Scientist

• Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows.
• Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges.
• Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction and automate labeling process.
• Establish ML infrastructure foundations: Partner with platform engineering team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases.

Data Scientist, Machine Learning

Machine Learning Engineer

• End-to-end ML ownership: Lead the full lifecycle of ML systems — feature engineering, model design, training, evaluation, deployment, monitoring, and iteration.
• Collaborate with a strong team: Work alongside data engineers, platform engineers, and product teammates who ensure you have the infrastructure, data, and context to deliver.
• Design & deploy production models: Build high-performance ML applications in risk, fraud, trust & safety, and compliance domains.
• Keep models healthy in production: Proactively monitor, detect drift, and retrain to ensure long-term performance and reliability.
• Experiment & learn: Drive online experiments, offline evaluation, and counterfactual analyses to prove impact.
• Shape ML foundations: Contribute to the feature store, model management, training/serving pipelines, and best practices that scale ML across multiple use cases.

Security Engineer

• Own Middesk’s trust and compliance platform (currently Vanta), including continuous monitoring, evidence collection, and control maintenance.
• Manage and maintain compliance with frameworks and assessments such as SOC 2, ISO 27001, and external penetration tests.
• Coordinate with internal teams and external auditors to support audits and assessments end-to-end.
• Maintain a current and accurate inventory of subprocessors and vendors, with particular focus on access to customer data and PII.
• Partner with Legal, Ops, and Engineering to assess vendor risk and ensure appropriate controls and contractual safeguards are in place.
• Own and respond to due diligence questionnaires (DDQs), security reviews, and trust-related inquiries from customers and partners.
• Develop reusable artifacts and processes to streamline security and compliance reviews as Middesk scales.
• Chair Middesk’s internal oversight or security committee, including agenda setting, documentation, and follow-ups.
• Own the lifecycle of security and compliance policies: drafting, review, approval, rollout, and periodic refresh.
• Ensure policies are aligned with actual practices and system behavior—not just “paper compliance.”
• Develop and maintain a strong understanding of Middesk’s data flows, systems, and architecture at a conceptual level.
• Act as a translator between technical teams (Engineering, Security, Data) and non-technical teams (Legal, Sales, Customer Success, Operations).
• Identify gaps between how the business operates and how it is represented in compliance artifacts, and drive remediation.
• Be the internal point of contact for our external IT vendor (or be the person that makes the case that this needs to be brought in-house).

Information Security Associate

Sales

• Oversee a team of Account Executives and achieve revenue goals
• Develop and implement sales strategies focused on customer value
• Collaborate with cross-functional teams for pipeline generation
• Act as an executive on sales calls and build relationships with customers
• Foster a strong team culture of collaboration and accountability
• Forecast team’s revenue performance on a rolling basis

Mid-Market Sales Manager

Growth Marketing

• Own our entire growth motion: paid, SEO, lifecycle, ABM, website conversion, and experimentation.
• Build a real experimentation practice with 3–5 meaningful tests per month.
• Shape every touchpoint between "someone is interested" and "meeting booked".
• Manage a small, high-performing team with clear ownership.
• Work as a tight unit with Brand and Product Marketing.

Data Scientist, Machine Learning

Machine Learning Engineer

Information Security Associate

Mid-Market Sales Manager

Head of Growth Marketing