Top Senior Level Jobs

Lead and develop a software engineering team building Yext’s Knowledge Graph infrastructure, APIs, workflows, and distributed systems. Partner with Product and Engineering leadership to plan and deliver initiatives, guide architecture and technical tradeoffs, maintain engineering quality, coordinate incident response, recruit and onboard engineers, and improve team processes. The role also involves responsible adoption and evaluation of AI-assisted development tools.

Own post-sales technical relationships for key clients, helping them optimize platform solutions, workflows, integrations, and AI-driven automation. Manage technical support SLAs, monitor client health and anomalies, deliver training, identify process improvements, and communicate feedback to Product and Engineering. Collaborate cross-functionally on escalations, feature roadmaps, account growth, and client retention while operating effectively in an evolving environment.

Own complex cloud infrastructure and migration programs, including multi-cloud environment setup and production workload migrations. Coordinate Engineering, SRE, DevOps, Security, QA, Product, and leadership teams; manage dependencies, risks, cutovers, rollback plans, metrics, compliance, and stakeholder communications. The role requires hands-on experience leading production SaaS cloud migrations, strong hyperscaler knowledge, release engineering familiarity, and excellent program management skills.

Design and build Maybern’s Scenario Modeling engine, including projection frameworks, workflow orchestration, and financial data processing pipelines. Lead architecture and development of core systems from the ground up, partner with product experts to create intuitive modeling tools, and launch complex data products. The role requires strong experience with high-volume, near-real-time systems, relational databases, transactions, cloud platforms, and distributed systems.

Leads product strategy and execution for MongoDB Atlas Infinite, a disaggregated compute and storage platform. Owns customer experience, adoption, monetization, retention, roadmap discovery, GA readiness, and cross-team trade-offs. Partners with engineering, marketing, sales, support, and executives to validate workloads, resolve systemic product issues, develop multi-year bets, and align technical and commercial priorities. Mentors product managers and establishes consistent research, launch, and decision-making practices across the portfolio.

Manage general litigation and legal risk across the business. Responsibilities include assessing lawsuits and legal threats, developing response strategies, drafting and reviewing court filings, guiding outside counsel, negotiating dispute resolutions, representing the company in small claims court, responding to regulatory inquiries, and advising internal stakeholders on emerging legal issues.

The Senior Associate manages third-party risk assessments, onboarding, monitoring, offboarding, remediation plans, stakeholder communications, and regulatory or audit requests. The role supports governance and oversight across vendors, financial market utilities, exchanges, clearing members, banks, and other third parties. Responsibilities also include tracking risks to closure, improving TPRM processes, responding to third-party requests, and leading special projects. Candidates need risk management, audit, or TPRM experience, strong analytical and communication skills, a bachelor’s degree, and at least two years of relevant experience.

Partners with GTM and Sales leadership to align talent priorities with business outcomes. Diagnoses organizational and manager needs, leads talent management, compensation, rewards, and retention programs, uses data and AI to inform decisions and improve processes, and collaborates with People teams to deliver scalable solutions. Champions company culture and travels approximately once per quarter for leadership and team meetings.

Designs, develops, and operates scalable batch and streaming data pipelines and products. Integrates data from multiple sources, improves reliability and performance, establishes reusable engineering patterns, and supports AI, search, analytics, and machine learning workloads. Partners with technical and business stakeholders on architecture and requirements, while providing technical guidance and mentoring to less-experienced engineers.

Leads data engineering, data science, and AI initiatives, including Snowflake architecture, ETL pipelines, AWS data systems, data warehousing, analytics, and AI/ML solutions. Manages data governance, dashboards, experimentation, and web analytics integrations while building and mentoring multidisciplinary teams. Partners with Product, Editorial, Engineering, and business stakeholders to translate data needs into scalable solutions and drive business impact.