Sift

Leads and grows the ML Platform team responsible for training, evaluating, and serving production machine-learning models. The role requires 8+ years of engineering experience, 4+ years managing engineering teams, strong ML systems expertise, and customer-facing technical leadership.

Leads enterprise sales strategy, revenue growth, complex deal execution, and development of a high-performing sales organization. The role requires 8+ years of enterprise SaaS sales experience, including leadership of enterprise sales teams and expertise in structured sales methodologies.

Forward Deployed Engineer on the Trust & Safety team at Sift, partnering with customers to detect and mitigate online fraud and abuse. Requires 5+ years in fraud/risk, strong SQL/Python, ML for fraud applications, and customer-facing experience analyzing large behavioral datasets.

Contracts & Legal Ops Specialist responsible for end-to-end management of customer, vendor, and partner agreements at a B2B SaaS company. Independently negotiates and closes standard contracts using AI tools, owns contract automation/playbooks, manages full lifecycle, and collaborates with Sales, Deal Desk, and cross-functional teams while escalating complex matters to counsel. Requires 2+ years in contracts/legal ops, comfort with AI/LLMs, and experience with Salesforce/Jira.

Serve as the technical bridge between customers and Sift's engineering/product teams. Own complex customer issues for enterprise accounts, support integrations and ML model health, write scripts/queries for ROI and automation, and advocate for customer needs internally. Requires 5+ years technical customer-facing experience, strong scripting skills, and cross-functional collaboration.

Build and deploy large-scale online ML models and end-to-end pipelines for real-time fraud detection at Sift, working on automated training systems that process over 1T events. Requires 4+ years production ML experience, strong Python/Java/Scala skills, and distributed systems expertise with Spark, Databricks, and GCP.

Senior Security Engineer designing and operating security controls across cloud infrastructure, applications, and CI/CD pipelines. Requires 5+ years in security engineering, cloud experience, and strong automation skills.