Top Tech Jobs & Startup Jobs

Leads SAP SD/MM/PP solution strategy and functional delivery across order-to-cash, procure-to-pay, supply chain, inventory, and manufacturing processes. Translates complex business requirements into scalable SAP solutions, leads configuration, testing, migration, implementation, and stabilization, and coordinates global cross-functional teams. Drives process standardization, automation, integration, continuous improvement, stakeholder alignment, and functional coaching across enterprise transformation initiatives.

Qualifies inbound and marketing-generated leads, engages scientific customers, routes opportunities to field sales representatives, supports prospecting and follow-up, maintains CRM data, and tracks biotech venture funding to identify sales opportunities. The role requires scientific knowledge and laboratory or biotechnology experience, with a pathway toward field sales, account management, or business development.

Qualify and nurture marketing-generated leads for Thermo Fisher Scientific’s Genetics Science Division. Engage prospective and existing customers, identify needs, route opportunities to sales teams, support smaller sales opportunities, and provide insights from customer interactions and campaign data. Collaborate across Marketing and Sales to improve pipeline growth, customer engagement, and marketing effectiveness.

Lead Accounts Receivable Representative manages a portfolio of 200–400 B2B accounts (~$20M), handling invoicing to cash collection, resolving payment issues, driving delinquency resolution, mentoring team members, and using billing platforms, Excel, Oracle, and Cognos to improve collections and processes.

Leads the Laboratory Chemical Division’s long-term strategy, STRAP, strategy deployment, and enterprise transformation portfolio. Partners with executive leadership to convert strategic priorities into accountable initiatives, KPIs, milestones, business cases, and financial outcomes. Drives growth, productivity, margin expansion, working-capital improvement, AI and innovation adoption, and sustainable earnings improvement across business units and functions. Advises the Division President, builds organizational alignment, and develops readiness for broader P&L or General Manager leadership.

Manage statutory reporting, local GAAP compliance, audits, tax filings, reconciliations, financial statements, and related accounting projects. Coordinate with auditors, tax advisors, internal accounting, legal, and treasury teams across multiple countries. Resolve audit and tax queries, review supporting schedules and tax computations, maintain project trackers, and ensure accurate, timely regulatory and financial reporting.

Supports account development by managing marketing-generated leads, researching prospects, generating demand-generation leads, nurturing client relationships, and increasing RFP volume. Trains team members on tools, supports onboarding, maintains reporting protocols, develops territory strategies, and collaborates with Marketing and internal departments on lead-generation campaigns, webinars, and outreach. The role requires strong communication, organization, sales coordination, and familiarity with CRO service offerings.

Manages cross-charges, prepayments, fixed assets, subsidies, grants, reconciliations, period-end closing, internal controls, audit support, and financial adjustments. Maintains accurate documentation, uploads reports to BlackLine, updates accounting procedures, and identifies process improvements. Requires accounting or finance experience, strong analytical skills, financial reporting knowledge, attention to detail, and proficiency with MS Office.

Build, test, optimize, and maintain batch and real-time data pipelines across AWS or Azure platforms. Perform data mapping, requirements analysis, data quality management, and architecture planning while collaborating with engineering, analytics, project management, and global stakeholders. Apply Agile, DevOps, DataOps, and DevSecOps practices, develop efficient PySpark solutions, and explore LLM and generative AI applications for data engineering productivity.

Build, test, optimize, and maintain batch and real-time data pipelines on enterprise data platforms. Perform data mapping, requirements analysis, data quality management, and stakeholder collaboration. Support AWS or Azure cloud BI solutions, data warehouse reporting, platform architecture, agile delivery, DevOps practices, and roadmap initiatives. Apply PySpark, Python, SQL, and emerging technologies such as large language models and retrieval-augmented generation.