Top Tech Jobs & Startup Jobs

Build and scale Curvion’s B2B revenue division by acquiring high-value accounts, leading complex sales cycles, and delivering revenue architecture consulting. Diagnose client revenue organizations, develop GTM and RevOps strategies, create implementation roadmaps, improve the consulting methodology, and identify expansion opportunities. The role also establishes sales processes, forecasting, KPIs, and operating cadence while developing toward leadership of the broader revenue organization.

Own and build Curvion’s new B2B revenue division. This role combines executive sales leadership, revenue strategy consulting, GTM and RevOps architecture, and hands-on execution. Responsibilities include acquiring high-value accounts, leading complex sales cycles, delivering Revenue Architecture engagements, refining the company’s methodology, establishing forecasting and sales processes, and recruiting and developing the future revenue team. The leader will initially operate as an individual producer before scaling into ownership of the broader revenue organization and its growth targets.

Manages daily operations of an environmental health and safety laboratory, including sample throughput, laboratory resources, client service, staffing, budgets, quality, safety, and performance. Leads employees, coordinates technical and support teams, resolves client and technical issues, ensures turnaround times and data quality, implements operational best practices, and maintains compliance with industry and environmental testing standards.

Design, develop, test, deploy, and support scalable full-stack software across frontend, backend, APIs, services, and data layers. Own complex technical projects, make architecture and tradeoff decisions, optimize performance, contribute to DevOps and security practices, and use AI-assisted development tools. Collaborate cross-functionally with Product, Design, QA, and business partners while mentoring engineers, conducting code reviews, documenting systems, and improving engineering practices.

Lead and develop a software engineering team while remaining technically engaged in architecture, code and design reviews, debugging, delivery planning, operational support, and engineering quality. Partner with Product, Design, QA, and engineering leadership to prioritize work, manage risks, remove blockers, support career growth, hire engineers, and improve development practices, reliability, security, observability, testing, and AI-assisted engineering productivity.

Leads architecture and evolution of scalable distributed systems across engineering teams. Drives technical initiatives from design through delivery, improves developer productivity and platform reliability, mentors engineers, establishes engineering standards, manages technical risks and tradeoffs, and influences long-term technology direction. The role requires full-stack development expertise, strong systems fundamentals, cross-functional leadership, and experience with modern cloud, web, database, DevOps, and AI-assisted development technologies.

Develop algorithms, models, and analytical systems to transform complex structured and unstructured datasets into actionable insights. Collaborate with clients to define questions, gather and clean data, apply statistical and scientific methods, and support decisions across areas such as fraud detection, cancer research, and national intelligence. The role requires R or Python, advanced quantitative skills, and an active TS/SCI clearance with polygraph.

Manage projects across initiation, planning, execution, monitoring, and closeout. Coordinate cross-functional teams, engage stakeholders, develop Agile product roadmaps, establish milestones, track metrics, manage risks and scope changes, and align delivery with client missions. The role supports modernization of Navy personnel systems and includes strategic planning, resource management, client engagement, and team leadership.

Designs enterprise and mission-system architectures for defense and federal customers, including cloud migration, legacy modernization, system integration, technical roadmaps, and architecture artifacts. Leads workshops, manages risks, validates implementations, mentors developers, and translates government needs into testable research concepts. The role also develops technical narratives for R&D opportunities and requires collaboration with program managers and stakeholders.

Leads complex financial services transformation engagements across consumer lending, retail banking, payments, and operations. Responsibilities include assessing current operations, designing future-state operating models, developing implementation roadmaps, leading transformation programs and PMOs, supporting technology-enabled implementations, producing executive deliverables, managing senior client relationships, and incorporating AI-enabled consulting approaches. The role also contributes to recruiting, business development, thought leadership, and practice growth.

Provides Level 2 operational support for Salesforce, AMIE, Smartsheet, and other enterprise applications. Troubleshoots incidents, validates configurations and data flows, manages user administration, coordinates escalations, supports migrations and testing, maintains knowledge documentation, assists with reporting, and recommends process improvements. Requires occasional after-hours or on-call participation.

Leads research and engineering for internal reasoning large language models supporting drug discovery and biomolecular design. Responsibilities include setting model architecture and training strategy, improving scientific reasoning capabilities, translating biological and chemical knowledge into ML objectives, building scalable distributed training systems, establishing evaluation benchmarks, and transitioning research prototypes into production. The role also provides technical mentorship and requires strong research excellence, software engineering, and large-scale deep learning expertise.

Lead engineering for foundation models, autonomous agents, and agentic systems supporting AI-driven drug discovery. Architect scalable distributed training and inference infrastructure, productionize Python and deep learning systems, establish MLOps and AgentOps practices, and define technical strategy. Build agent memory, orchestration, scientific data integrations, observability, evaluation, CI/CD, and deployment systems. Partner with ML scientists and domain experts to translate research into reliable, enterprise-grade platforms.

Lead and execute Blaze branded collateral across print and digital channels. Manage brand standards, coordinate vendors, oversee pre-press and production, create campaign art, maintain DAM, and guide junior designers while tracking project status from concept to completion.

Supervise manufacturing engineering activities for composite aerospace products. Lead and mentor engineers, develop and improve processes, tooling, equipment, work instructions, and bills of materials, and provide shop-floor support. Apply statistical methods, Lean, Six Sigma, Kaizen, FMEA, TPM, and industrial engineering practices to improve quality and productivity. Review engineering specifications, establish process qualification plans, and support new product introduction and composite fabrication.

Configure and develop Workday reports, calculated fields, business processes, security models, integrations, PRISM Analytics, and Workday Extend applications. Partner with HR, payroll, finance, IT, and integration teams to translate requirements into maintainable solutions. Support tenant management, testing, release adoption, troubleshooting, documentation, and production remediation while advising on Workday best practices and mentoring junior engineers.

Design, develop, and maintain Coupa integrations with ERP, finance, HR, payroll, payment, identity, and supplier systems. Build API and iPaaS integrations supporting source-to-pay processes, supplier onboarding, procurement transactions, data synchronization, security, error handling, and reconciliation. Optimize high-volume integration performance, support releases and production incidents, document technical solutions, collaborate with stakeholders, and mentor junior engineers.

Design, deploy, secure, and operate enterprise Red Hat OpenShift and Kubernetes platforms across on-premises and cloud environments. Responsibilities include cluster lifecycle automation, multi-tenant networking and storage, CI/CD enablement, observability, security hardening, disaster recovery, upgrades, workload optimization, and developer self-service. The engineer partners with application, security, and infrastructure teams, improves platform tooling, supports compliance, and mentors junior engineers.