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Generate and qualify new business via outbound prospecting (calls, emails, LinkedIn). Map target accounts and personas, create tailored entry strategies, spark interest, qualify leads, maintain HubSpot CRM, use Apollo/Lusha/ZoomInfo, collaborate with Account Executives, attend industry events, and exceed monthly quotas.

Designs and commissions custom mechanical test benches and laboratory equipment, structures experiments, analyzes mechanical failures, and correlates physical test data with engineering models. The role includes component sizing, CAD and manufacturing documentation, FEA, supplier coordination, hands-on testing, maintenance diagnostics, safety, and technical leadership. Collaboration with testing, hardware, firmware, product, and data science teams supports reliable data collection and AI model development.

Own an analytics project for go-to-market teams by combining CRM, campaign, and account data with SQL and Python. Build reusable data models, define acquisition and pipeline metrics, investigate data quality issues, add validation checks, and create dashboards and analyses. Communicate findings, recommendations, assumptions, and limitations to stakeholders while documenting reproducible workflows.

Support product design projects from user research through interactive prototyping and implementation. Conduct interviews and usability studies, create task flows, wireframes, and Figma prototypes, refine accessibility and interaction details, document design decisions, and collaborate with product and engineering teams. The role offers experience applying user evidence to product decisions within a scoped project.

Build and improve generative AI applications using LLMs, RAG workflows, APIs, databases, and backend components. Write tests, debug failures, improve performance and reliability, and collaborate on integration, deployment, and monitoring. The role also involves connecting models to external data sources and supporting scalable, reliable AI systems.

Conduct focused technical research under engineering mentorship. Define research questions, formulate hypotheses, implement Python models and experiments, compare approaches against baselines, evaluate generalization and computational cost, and deliver reproducible code with a concise technical report. The role applies quantitative research, mathematical modeling, statistics, optimization, predictive modeling, scientific computing, and time-series analysis to practical product and business problems.

Build foundational B2B technology sales experience by researching manufacturers and decision-makers, conducting guided phone, email, and LinkedIn outreach, practicing discovery, handling objections, and maintaining accurate HubSpot records. The intern will learn to connect industrial monitoring technology to customer priorities, track goals, receive coaching, and develop skills for an Account Development Representative career path.

Lead regional mid-market sales growth by defining strategy, recruiting and developing Account Executives, managing pipeline and forecasting, and scaling territory and coverage models to drive predictable revenue for Tractian's maintenance and reliability platform.

Own regional enterprise growth by defining sales strategy, recruiting and developing Account Executives, managing territory and pipeline, enforcing forecasting discipline, and partnering with Sales Engineering, Customer Success, and Marketing to expand adoption of Tractian’s maintenance and reliability platform.

Design, implement, and secure scalable cloud infrastructure across AWS and OCI; manage CI/CD (GitHub Actions), Kubernetes and ECS clusters (including GPU workloads); integrate observability (Datadog, Grafana, OpenTelemetry, Sentry); enforce security and compliance (SOC2, ISO 27001); handle DevOps/SRE intake, vulnerability response, and migrations from EKS to OKE.