Middesk

Engineering Manager

• Manage and grow a team of data and ML engineers; set goals, provide feedback, and build a culture of technical excellence
• Partner with Recruiting to hire top talent as the team scales
• Align engineering priorities with business goals, focusing on scaling data acquisition, building ML infrastructure, and improving pipeline reliability
• Scale Middesk’s data acquisition framework—automate evaluation of new sources, build ingestion and ETL pipelines, and integrate into entity resolution
• Partner with Product and Data Science to launch new data products and expand business identity dataset
• Improve reliability, observability, and cost-efficiency across the platform (storage, ETL, Elastic Search)
• Build and scale ML infrastructure, including training pipelines, model serving, feature stores, and MLOps practices
• Partner with Data Science to accelerate experimentation and deployment across fraud, risk, and identity use cases
• Drive adoption of AI agents and LLM workflows to automate ingestion, orchestration, and AI-powered customer applications
• Collaborate with Product, GTM, and Data Science to shape roadmap for ML- and data-driven initiatives
• Champion AI/ML adoption across the company, set technical direction and best practices
• Partner with customers and stakeholders to ensure data and AI infrastructure is reliable, trustworthy, and high-performing
• Follow hybrid work model with expectation of 2 days per week in SF office

Engineering Manager, Data Platform and Machine Learning

Operations

• Join a team of 6 operations analysts supporting the Entity Management product line.
• Review and submit state payroll tax registrations and transfers quickly and accurately.
• Review state notifications and monitor communications from state agencies.
• Follow up with customers to resolve inaccurate data and clarify application information.
• Contact state agencies to follow up on untimely correspondences or clarify evolving requirements.
• Develop expertise in nuances of state registrations to complete tasks on behalf of customers.
• Collaborate with the broader Entity Management Team to create and optimize processes and support new features and fulfillment streams.
• Work in a queue-based, highly operational role with opportunities to support projects based on business need.

Operations Analyst

Account Manager

• Own a Strategic Account: Serve as the main point of contact for Alloy, managing and growing one of Middesk’s most strategic and established partnerships.
• Drive Growth: Develop joint strategies that expand adoption and drive shared value. You’ll be responsible for satisfaction, retention, and commercial growth.
• Build Playbooks: Help define how we manage strategic alliances at Middesk. You’ll set best practices, build internal processes, and develop KPIs to track success.
• Connect the Dots Internally: Work cross-functionally with Go-To-Market, Product, and Operations teams to bring partner insights into our roadmap and drive alignment on priorities.
• Expand the Portfolio: Identify and secure new high-impact partnerships. Negotiate deal terms and drive execution from kickoff through launch.
• Act as a Trusted Advisor: Deeply understand partner use cases and act as their advocate internally — influencing the product roadmap and long-term strategy.
• Build the Blueprint: Help define what great looks like for partnerships at Middesk. Your work will directly shape our partner strategy, internal processes, and long-term growth playbook.

Strategic Partnerships Manager

• Middesk: transforms business identity verification to help companies verify business identities, onboard customers faster, and reduce risk.
• Lead engineering for Risk & Fraud: set technical vision and build the team developing fraud and risk products; lead 0→1 initiatives and scale products for top customers across fraud prevention and risk assessment.
• Embed with existing Risk & Fraud engineering team; partner with product and design to shape business and product decisions.
• Grow and manage a team of 8-10 engineers; hiring, coaching, mentoring, performance management.
• Be hands-on: write stories, take on engineering on-call duties, debug builds, and ship fixes.
• Own technical roadmap and strategy; partner with recruiting; collaborate with Product, Data Science, Design, Go-to-Market, and Foundation teams; engage directly with customers.
• Collaborate with Engineering leadership to define culture and improve engineering through scalable processes.

Engineering Manager, Data Platform and Machine Learning

Operations Analyst

Strategic Partnerships Manager

Engineering Manager, Risk and Fraud