Top Tech Jobs & Startup Jobs

Leads enterprise data security and information governance by building data intake, catalog, marketplace, classification, lineage, and access-control programs. Translates privacy and security requirements into technical controls, self-service workflows, and governance documentation. Partners with Legal, InfoSec, engineering, product, and data teams to support compliant data use, AI/ML initiatives, and regulatory requirements including HIPAA, GDPR, and CCPA. Measures adoption, turnaround times, and governance maturity across a global SaaS organization.

Designs, implements, tests, and optimizes liquid cooling and thermal management systems. Performs thermal analysis and experimental validation, supports system integration, ECOs, NPI, manufacturing transfers, and process management. Collaborates with cross-functional teams, develops technical documentation, ensures compliance with industry standards, and mentors engineering and site teams on liquid cooling technologies. The role requires approximately 30% travel.

Supports Flatiron’s oncology product development as a clinical genomics subject matter expert. Interprets genomic test results, translates oncology workflows into product requirements, validates clinical decision-support features, and advises Product, Engineering, and Clinical teams. Develops educational materials on precision medicine and genomic testing, represents provider needs, and stays current on molecular diagnostics, targeted therapies, and oncology guidelines.

Own and grow Rubrik’s unstructured data protection business as a quota-carrying NAS product specialist. Partner with account executives, sales engineers, and channel teams to identify opportunities, lead technical discovery, demos, and proof-of-concept engagements, develop account strategies, differentiate against competitors, engage technical and executive stakeholders, and maintain accurate Salesforce forecasts. The role requires strong storage infrastructure expertise, technical selling ability, consultative enterprise sales experience, and consistent quota attainment.

Leads development of real-time signal processing and edge inference for consumer health products. Owns algorithms from prototyping and validation through embedded productization, optimizing for compute, memory, latency, and power constraints. Collaborates with hardware, software, machine learning, and product teams; evaluates third-party solutions; integrates algorithms into embedded systems; mentors junior engineers; and advances research-to-production capabilities.

Owns Imprivata’s end-to-end revenue pipeline operating discipline, improving pipeline creation, qualification, progression, forecasting, data quality, and conversion. The role leads cross-functional governance across Marketing, Sales Development, Sales, Finance, and Business Operations; develops playbooks, dashboards, predictive analyses, and inspection routines; ensures Salesforce accuracy; coaches leaders; and advises executive stakeholders on pipeline performance, risks, and revenue predictability.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Own a US enterprise sales territory focused on landing net-new logos among companies with 1,000–10,000 employees. Build outbound pipeline, run full-cycle deals, lead MEDDPICC-based discovery, collaborate with Solutions Architects on technical evaluations, and engage data and AI executives. The role also contributes customer insights to Product and Marketing, develops segment strategy and sales collateral, and helps build the growing enterprise sales team.

Implements and supports high-performance computing Linux system solutions for clients and internal teams. Develops technical designs, leads small to medium projects, provides integration and architecture support, resolves complex technology problems, and contributes to customer proposals and documentation. The role requires strong consulting, communication, requirements analysis, solution design, and technical leadership skills, along with the ability to translate customer needs into deliverables and advise on implementation risks.

Provides hands-on technical leadership for enterprise Data Trust platforms. Designs and operates distributed systems supporting data contracts, metadata, lineage, quality, privacy, access controls, reliability, and semantic context for analytics and AI. Leads batch and streaming capabilities across Snowflake, AWS, and Kafka; establishes observability, SLOs, automated enforcement, and operational rigor. Drives cross-functional architecture and multi-quarter initiatives while mentoring engineers and building reusable platform standards.