The Data Scientist opening is aimed at a hands-on applied scientist who understands real-world fraud, risk, or trust-and-safety problems. Middesk emphasizes extreme class imbalance, sparse signals, changing adversarial behavior, and imperfect ground truth rather than a purely academic modeling exercise. The work includes building fraud and risk systems, using graph or entity-resolution approaches to uncover relationships, improving features and labels with heuristics or weak supervision, and partnering with engineering on training and production infrastructure. The posted range is $175,000 to $210,000 plus equity, with a hybrid expectation of two days per week in a New York or San Francisco office. Editorial image: applied data work is connected to risk, trust, and customer workflows. For product leaders, the Group Product Manager role owns Middesk’s Entity Management suite and reports to the Head of Product. The products include payroll tax registration and business formation workflows, with a roadmap that spans reliability, automation, operational efficiency, customer discovery, and new product-market fit work. The role leads a small PM team while staying close to the day-to-day product work, partnering with engineering, legal and compliance, operations, and go-to-market. Middesk asks for five to seven or more years of product management experience and lists a $190,000 to $250,000 base range plus equity. The Manager, Product Operations role is a good match for someone who builds the systems around product execution. Middesk describes the job as improving operations through process design, tooling, automation, AI, and measurement, with a strong analytical instinct for finding bottlenecks. The hire will partner with product and engineering to turn operational problems into better systems and may work across government registrations, payroll, tax operations, compliance, fintech, or legal tech. The New York listing shows an estimated $150,000 to $175,000 base salary plus equity. Candidates should bring examples of a process they made more measurable, reliable, or scalable. Commercial Counsel adds a legal route into the same growth story. The listing asks for at least two years of commercial contract experience, either in-house or supporting B2B SaaS clients, with hands-on redlining and negotiation skills. The person will own contract review, support sales, build legal operations infrastructure such as templates and playbooks, and grow into a broader generalist role. A J.D. and active bar admission are required. The posted New York base range is $160,000 to $200,000 plus equity. This is a practical role for counsel who likes helping a sales team move while keeping the underlying process disciplined. The Account Manager, Enterprise Banking role is designed for a customer leader who can manage high-value relationships after the sale. Middesk’s listing shows $160,000 to $210,000 in on-target earnings plus equity and asks for six or more years of account management or customer success experience in B2B SaaS, with banking or fintech experience required. Responsibilities include becoming a subject-matter expert, driving strategic conversations with executives, advocating for customer needs with product, and improving the account-management playbook. The job connects product depth with commercial judgment, making it a strong option for a senior customer-success professional who wants a more regulated market.

• The strongest applications will be specific to the job family. Data scientists should demonstrate deployed risk or fraud systems and explain how they handle changing labels. Product leaders should show how they balanced reliability with new bets and influenced engineering. Product operations candidates should quantify process improvements. Revenue candidates should explain complex deals and buyer committees. Counsel should show independent contract ownership. Account managers should give examples of expansion, retention, and executive relationships. Because Middesk’s official page links each role to an individual application, applicants can use the exact language of the posting to choose evidence without padding the resume with unrelated achievements.