Systems Engineer

• Own firmware design, implementation, and maintenance across our connected device portfolio — bootloaders, data acquisition, telemetry interfaces, and OTA update mechanisms
• Conduct board bring-up, debugging, and hardware validation for new and existing products
• Integrate cryptographic mechanisms (AES, ECC) and evaluate the transition to certificate-based authentication and mutual TLS (mTLS) for end-to-end device security
• Review electrical schematics and mechanical designs, providing system-level input so hardware, firmware, and cloud connectivity work together correctly in the finished product
• Guide products from concept through design, testing, and production, determining the engineering work needed and coordinating it across disciplines
• Build, test, and debug prototypes during product development
• Support the transition from prototype to production and help resolve manufacturing issues, working directly with contract manufacturers and production partners
• Provide sustaining engineering support for products already in production or in the field
• Lead technical design reviews and help resolve engineering issues across hardware, firmware, and mechanical design
• Ensure firmware and product designs meet European cybersecurity and radio regulations, including RED (2014/53/EU) and NIS2
• Lead the technical work required for product certification, working with internal regulatory experts and external certification bodies
• Act as the primary technical point of contact between Van Essen Instruments (Delft) and Lambrecht Meteo (Göttingen) on hardware, testing, security, and certification alignment

Senior Embedded Systems, Firmware Engineer

Revenue Operations

• Partner with sales, marketing, and product leaders to define and prioritize go-to-market (GTM) revenue operations business intelligence (BI) needs, including AI-enabled KPIs and performance metrics across the full funnel.
• Analyze CRM and marketing automation data accuracy and integrity, partnering with sales and marketing teams to maintain and continually improve data quality, hygiene, and governance.
• Formulate and institute revenue, sales, and marketing KPIs and dashboards, leveraging AI and predictive analytics, to monitor and improve pipeline health, funnel conversion, and overall go-to-market performance.
• Analyze lead-to-revenue data by dimension (market segment, product line, territory, channel) to assess sales velocity, pipeline mix, marketing-sourced and -influenced contribution, and conversion rates, informing planning and improving forecast accuracy.
• Build and maintain AI-powered sales forecast and deal-scoring models (e.g., Salesforce Einstein, Clari, or comparable predictive tools) to support pipeline progression, sales velocity, and recurring subscription and renewal forecasting.
• Analyze direct and indirect transactional and marketing attribution data to determine optimal channel mix and ROI across sales and marketing investments.
• Study sales and marketing funnel trends by segment and solution set to inform territory planning, pipeline coverage, and seller/marketer capacity needs.
• Evaluate, pilot, and help scale emerging AI tools, including generative AI for conversation intelligence, sales engagement, lead scoring, and marketing automation, to improve rep and marketer productivity.
• Design and implement compelling visualizations, dashboards, and reports that translate AI-generated insights into clear KPI narratives for sales, marketing, and executive stakeholders.
• Analyze market, customer, and competitive trends, incorporating AI-assisted research tools where useful, to support evidence-based decisions and track market and account share on an ongoing basis.
• Collaborate across sales, marketing, customer success, and finance to understand workflows, troubleshoot process issues, and continually improve quote-to-order and lead-to-revenue processes.
• Train sales and marketing teams on systems, AI tools, and processes to improve adoption, efficiency, and data quality.
• Drill down on team, seller, and campaign performance using AI-driven analytics, enabling managers to proactively address performance and process gaps.
• Consult with internal stakeholders to identify, analyze, refine, and document business processes and functional requirements for revenue operations systems and automation.
• Gather requirements for sales operations projects, test and evaluate new and existing technologies, and work closely with internal stakeholders to manage and execute projects.
• Contribute to the development of strategic, operating, quarterly and monthly sales plans and forecasts.
• Be proficient in identifying problems and presenting scalable, AI-enabled solutions to resolve them.

Revenue Operations Analyst

Sales Development Rep

• Generate monthly qualified discovery meetings and demos for the sales team.
• Quickly respond to and qualify inbound leads and inquiries.
• Maintain regular and active engagement with new and existing leads through creative communications (phone, email, social media).
• Meet or exceed the assigned quota of outbound activities and created meetings for the sales teams.
• Collaborate with our marketing and sales teams to develop strategic outreach strategies.
• Track progress on activity and report on outreach insights to management
• Travel required: Minimal (on-site planning meetings or possible trade shows)

AEM

Senior Embedded Systems, Firmware Engineer

Revenue Operations Analyst

Revenue Operations Analyst

Sales Development Representative