Middesk

Solutions Engineer

• Design custom solutions that integrate with client systems and compliance frameworks addressing fraud detection, regulatory compliance, and risk management
• Drive revenue by securing new logos and identifying expansion opportunities within existing accounts
• Partner with Account Executives and Managers to lead discovery and solution presentations with executive-level stakeholders
• Create and execute deployment plans to ensure fast and effective implementation and projected ROI
• Build and maintain strong customer relationships and provide feedback to influence Middesk’s product roadmap
• Influence product direction and GTM strategies by collaborating with Product, Marketing, and Sales teams
• Report to the Solutions Engineering Manager and take foundational ownership as an early Solutions team hire

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.

Solutions Engineer

Engineering Manager, Data Platform and Machine Learning

Operations Analyst

Strategic Partnerships Manager

Engineering Manager, Risk and Fraud