Top Hybrid Jobs

Develops, documents, tests, and supports enterprise application and infrastructure orchestration across cloud and on-premises environments. Partners with development, infrastructure, operations, architecture, and business teams to coordinate releases, define technical controls, manage integrations, enforce CI/CD and compliance standards, and support production deployments. The role also leads implementation planning, incident response, documentation, on-call support, and after-hours maintenance.

The Director of Growth Marketing role is focused on driving growth initiatives within OpenX’s digital advertising business. The description provides company values, benefits, compensation context, and equal employment information, but does not specify detailed responsibilities, qualifications, required technologies, travel, or clearance requirements.

Supports healthcare feasibility analytics by translating clinical and genetic cohort requirements into SQL queries, data transformations, visualizations, and actionable insights. Analyzes EMR, genomic, laboratory, and claims data; maintains dashboards and workflows; supports data quality assurance; and documents processes for post-sale development. Collaborates with clinical, research, business development, and technical teams while developing oncology and clinical genomics expertise.

Leads and manages a Design Verification engineering team supporting ASIC and FPGA development. Oversees verification planning, implementation, testing, coverage closure, process adherence, staffing, performance management, technical reviews, proposals, scope, budgets, and program execution. Mentors engineers, advances verification tools and methods, communicates performance to leadership, and supports complex electronic warfare and defense programs.

Leads FPGA design verification for electronic warfare systems by architecting SystemVerilog/UVM or VHDL testbenches, developing constrained-random test plans, analyzing coverage, creating reusable verification IP, and improving verification methodologies. The role leads small to medium teams, mentors junior engineers, manages schedules and task completion, and collaborates with distributed engineering teams. Work is full-time onsite and requires a current Secret clearance or eligibility to obtain one.

Leads and manages a Design Verification engineering team supporting ASIC and FPGA development. Oversees verification planning, implementation, testing, coverage closure, process adherence, staffing, performance management, technical reviews, proposals, scope, budgets, and program execution. Mentors engineers, advances verification tools and methods, monitors program metrics, supports complex electronic systems development, and communicates performance and technical information to senior leadership and customers.

The Global Program Manager oversees post-sale activities for Enterprise customers, ensuring they achieve rapid time to value through effective implementation and support while managing relationships and driving customer success in the Life Sciences sector.

Leads pre-sales solution development for enterprise biotech R&D customers. Partners with account executives and internal teams to discover requirements, model scientific data, design solutions integrating Benchling with existing technology environments, and deliver persuasive demonstrations. Advises scientific and IT leaders, addresses objections, contributes customer insights to product roadmaps, develops reusable solution content, and mentors other solution consultants. Requires regular onsite customer visits near Tarrytown, NY and 25–30% travel.

Lead a team of Major Account Executives selling Benchling’s SaaS platform to global biotechnology companies. Own pipeline generation, forecasting, account planning, executive relationships, complex enterprise deal execution, and expansion across strategic accounts. Recruit, coach, and develop sellers while partnering with Solutions Consulting, Customer Success, Product, Marketing, and Legal. Drive value-based sales cycles involving procurement, legal, security reviews, and multiple stakeholders.

Manage the post-sale client lifecycle for health insurance customers, including implementation, workflow design, dashboard analysis, ROI measurement, project management, and relationship building. Serve as the primary client contact while coordinating with Sales, Product, Data Science, and Engineering. Ensure clients successfully adopt and maximize the value of predictive analytics solutions through strong communication, documentation, and ongoing engagement.

Manage daily Operations Command Center support functions, supervise and develop technical staff, coordinate network problem resolution, maintain performance and process standards, support budgeting and reporting, improve monitoring systems, communicate operational results, and oversee business continuity planning in a 24/7 data center environment.

Leads consultative sales of Mastercard Services to U.S. financial institutions, managing strategic engagements, expanding offerings within existing accounts, exceeding sales targets, identifying client needs, creating persuasive presentations, guiding complex projects, developing thought leadership, and collaborating across teams to deliver tailored solutions.

Leads business development, sales, and account ownership for Mastercard Services within the financial institution segment. Builds executive client relationships, identifies needs, develops tailored solutions, leads pitches, coordinates internal teams, manages pricing and margins, and oversees Salesforce deal workflows and revenue recognition. The role requires strong analytical, communication, presentation, project management, and client relationship skills, with frequent client-site travel.

Build a greenfield, low-latency algorithmic execution platform in C++. Responsibilities include developing FIX gateways, exchange market data feed handlers, venue connectivity, pre-trade risk controls, platform infrastructure, audit logging, and algorithmic strategy migration. The role requires optimizing critical paths for microsecond-level performance while integrating U.S. exchanges and dark venues. Future work includes multi-asset execution, research and backtesting, and international market expansion.

Leads the global Security Products technology organization, setting strategy and managing software engineering teams. Oversees cybersecurity technologies, domain and brand protection, fraud protection, security monitoring, policies, risk mitigation, data center operations, customer onboarding, incident analysis, and continuous improvement. Partners with senior stakeholders and clients while ensuring technology capabilities align with business and security objectives.

Performs data analysis, cleans and validates data, identifies trends and anomalies, builds dashboards and reports, and supports KPI development. Collaborates with engineers and business stakeholders to improve data quality, pipelines, reporting requirements, and analytical processes. Leads data-driven change management, communicates insights, shares best practices, and may support urgent IT incidents.

Develops, tests, evaluates, and deploys machine learning models using established architectures and frameworks. Supports feature engineering, data preprocessing, automated training and monitoring pipelines, and production AI integration. Collaborates with engineering and product teams on AI requirements, researches methods to improve model performance, and supports urgent IT incidents. The role requires strong Python and machine learning experience, knowledge of deep learning and generative AI, and advanced quantitative education.

Develop, test, and deploy machine learning models; support feature engineering, preprocessing, evaluation, and automated training and monitoring pipelines. Collaborate with engineering and product teams to define AI solutions, research methods to improve performance, and support urgent IT escalations. The role requires advanced quantitative education, 5+ years of AI/ML engineering experience, Python expertise, and knowledge of deep learning and generative AI.