Mitek Systems

• Maintain a tax calendar of required domestic compliance for indirect taxes (including Sales & Use, franchise and property taxes).
• Assist legal department with Annual Report filings.
• Review of Sales & Use Tax returns.
• Preparation of Personal Property tax returns.
• Preparation of Sales & Use tax account reconciliations.
• Completion of registration forms for newly established entities.
• Manage, monitor and maintain log of notices from and responses to taxing authorities.
• Assist with audits of indirect taxes.
• Preparation of W-8, W-8BENs, etc.
• Work with accounting teams to settle intercompany balances.
• Assist other members of Tax issues which arise in the day-to-day operations.
• Assist in global tax strategy as needed.

Tax Manager

Sales

• Drive new business sales for Mitek's identity verification products.
• Manage and expand key accounts in the Netherlands region.
• Develop and manage a strategic pipeline of opportunities with banks, fintechs, and e-money providers in the Netherlands.
• Proactively open doors, build relationships, and close deals at C-level and across multiple business functions.
• Own the full end-to-end sales cycle, from prospecting and lead qualification to RFPs, solution presentations, and contract negotiation.
• Partner with Marketing on campaigns, events, and thought-leadership activities to maximize engagement.
• Use Salesforce and sales enablement tools to manage activity, track pipeline, and ensure high-quality reporting.
• Stay ahead of the curve by becoming a subject matter expert in identity verification and KYC technologies.

Senior Sales Manager

Machine Learning Engineer

• Build, train, and ship ML models for identity verification use cases such as biometric matching, liveness / anti-spoofing, identity document processing (OCR/extraction), and fraud detection (team assignment based on experience).
• Prepare large, noisy datasets: ingestion, validation, cleaning, deduplication, labeling strategy, and dataset QA to improve model performance and reliability.
• Design experiments, evaluation protocols, and success metrics (offline and online), iterate based on measurable business impact (detection rates, fraud losses, false positives).
• Develop production-grade training and inference pipelines on AWS with strong reproducibility, monitoring, and cost controls.
• Productionize models as resilient services and libraries in Python; collaborate with platform teams on APIs, latency and observability.
• Contribute to the transformation of our IDV engine: modernizing legacy components, improving modularity, and raising quality, performance, and maintainability.
• Work closely with Product, Customer Success, and Platform Engineering teams to ensure ML solutions meet privacy, compliance, and reliability requirements.
• Support other engineers through design reviews, code reviews, and knowledge sharing; help raise the technical bar across the team.

Full-stack Engineer

• Architect and implement cloud-native, production-grade APIs designed for scale, performance, and resilience.
• Lead and guide engineering teams in technical decisions, best practices, and long-term architecture strategies.
• Collaborate across product, operations, and engineering to translate requirements into well-designed features and scalable services.
• Write clean, efficient, and testable code using languages like Golang and Java.
• Design and execute robust unit, integration, and performance test suites to ensure product reliability.
• Participate in and lead Agile ceremonies including stand-ups, planning, refinement, and retrospectives.
• Drive adoption of DevOps and CI/CD methodologies to support rapid development and reliable deployment pipelines.
• Act as a mentor to junior engineers, elevating the overall technical expertise of the team.
• Serve as a problem-solver and unblocker on complex technical challenges.

Principal Software Engineer – Trust Platform

• Design, develop, deploy, and maintain production-ready API solutions.
• Write and execute unit/integration/performance tests to ensure the quality of our products.
• Create and maintain internal software documentation and public API documentation.
• Collaborate with other software engineers, researchers, product managers, and cloud/operation engineers to determine requirements, implement, deploy, test, and support our products.
• Follow Agile/Scrum processes like daily stand-ups, refinements, planning, and retrospectives.

Senior Software Engineer – Trust Platform

• Own and deliver quarterly and annual partner-sourced revenue targets.
• Drive pipeline creation, acceleration, and deal closure through strategic partners and alliances.
• Activate and enable partners to consistently generate qualified opportunities and bookings.
• Lead co-sell motions, joint account planning, and deal execution with partners.
• Work directly on high-value, complex, and strategic deals from qualification through close.
• Recruit, onboard, and ramp new partners to expand coverage and increase revenue penetration.
• Build strong executive-level and field relationships across partner organizations.
• Develop and execute partner-led go-to-market strategies, campaigns, and incentives.
• Forecast partner pipeline and revenue accurately and consistently.
• Identify whitespace, new market opportunities, and expansion plays within existing accounts.
• Provide partners with sales enablement, positioning, demos, and use-case guidance for Mitek’s fraud and identity solutions.
• Collaborate cross-functionally with Direct Sales, Marketing, Product, Legal, and Finance to remove friction and close deals.
• Represent Mitek at industry events and partner meetings as a trusted advisor and sales leader.
• Serve as a revenue-focused brand ambassador for Mitek’s identity and fraud portfolio.

Channel Sales Manager

• Own and manage the backlog for ML-driven biometric and document verification capabilities.
• Translate fraud, identity, and customer requirements into clear and actionable ML work items.
• Partner closely with ML engineers and data scientists to refine problem statements into feasible deliverables.
• Define acceptance criteria that reflect real world performance, not just offline model metrics.
• Participate actively in model design discussions, prioritization, and tradeoff analysis.
• Support model lifecycle activities including training, evaluation, deployment, and retraining.
• Ensure monitoring, drift detection, and feedback loops are incorporated into delivery plans.
• Partner with agent operations and data teams on labeling strategy and data quality.
• Incorporate fraud patterns and adversarial thinking into backlog prioritization.
• Work closely with engineering, fraud, compliance, legal, and customer teams.