Top Tech Jobs & Startup Jobs

Assist the Business Applications team in developing, testing, and deploying Generative AI and LLM-powered solutions. Responsibilities include prompt engineering, chatbot and copilot development, RAG and AI agent proof-of-concepts, model evaluation, data integration, technical documentation, AI technology research, and collaboration with business and technical teams.

Own the full B2B sales cycle, from prospecting and discovery through demos, negotiation, and closing. Drive new business, expansions, competitive takeaways, and client growth by consultatively selling shipping and logistics technology solutions. Manage pipeline activity using CRM and sales tools, collaborate with Client Success, Product, and Sales Engineering, and engage clients through local travel, events, and onsite meetings.

Leads Pitney Bowes’ Control Tower Operations team, overseeing transportation execution, dispatch, tracking, exception management, carrier performance, service-level achievement, reporting, and process compliance. Develops employees, manages carrier relationships, partners on transportation initiatives, maintains TMS data integrity, drives continuous improvement, and supports workforce planning across presort operations.

Own the full B2B sales cycle from prospecting through closing, drive new business and expansion, conduct consultative discovery and product demos, negotiate with clients, and recommend shipping and logistics technology solutions. Partner with Client Success, Product, and Sales Engineering while managing pipeline activity through CRM and sales tools. Engage clients through local travel, events, and onsite meetings.

Owns product strategy and roadmap for Production Shipping across pharma, retail, 3PL, and manufacturing. Leads platform modernization, enterprise customer success, consultative sales support, requirements prioritization, cross-functional execution, and business performance measurement. Requires deep expertise in shipping workflows, fulfillment, carrier routing, LTL/TL, optimization, and enterprise product management. The role also manages competitive intelligence and expansion opportunities across the Shipping 360 ecosystem.

The Senior Site Reliability Engineer will maintain highly available production applications and infrastructure, monitor system health, manage incidents, perform root-cause analysis, and implement corrective actions. Responsibilities include building automation, supporting CI/CD, provisioning and optimizing infrastructure, configuring monitoring and alerts, managing deployments, disaster recovery, postmortems, capacity planning, and on-call support. The role partners with development and QA teams to improve reliability, performance, testing, and release processes across complex cloud and datacenter environments.

Owns the architecture, reliability, resilience, and disaster recovery of large-scale on-premises data center infrastructure. Responsibilities include managing Nutanix, VMware, and NSX environments; validating redundancy, failover, and RTO/RPO performance; leading DR tests and migrations; improving monitoring, runbooks, automation, and post-incident remediation; and advising leadership on infrastructure risk and strategy.

Leads financial planning, forecasting, reporting, analysis, budgeting, and strategic finance for a global $1.3 billion business unit. Advises the SendTech President and executive team, oversees financial modeling and scenario analysis, partners with banking and financing operations, improves FP&A systems and processes, and builds high-performing finance teams across multiple locations.

Prepare journal entries, manage monthly close activities, complete balance sheet reconciliations, perform flux analysis, and oversee transactional accounting flows. Support project accounting, produce financial reports and GL analysis using COGNOS and Snowflake, improve accounting procedures, meet service-level agreements, and respond to audit requests. The role requires collaboration with an India-based outsourced team and four days per week in the Shelton, Connecticut office.

Architect and operate AI-augmented platform engineering systems for autonomous monitoring, anomaly detection, incident response, remediation, CI/CD reliability, infrastructure lifecycle management, observability, and FinOps. Define SLOs, reliability metrics, disaster recovery, runbook automation, and human-escalation safeguards. Lead postmortems, embed reliability practices across the SDLC, and provide senior technical leadership while building agentic workflows with LLM APIs and frameworks such as LangGraph, AutoGen, and CrewAI.