Evolv Technology

Manager

• Build strong relationships with customers and ensure successful onboarding
• Drive customer satisfaction, system utilization, and renewal rates
• Deliver virtual and onsite training sessions
• Develop baseline success plans focusing on adoption and learning milestones
• Monitor customer health and usage signals to identify risks
• Collaborate cross-functionally to support customer outcomes

Customer Enablement Manager

Solutions Engineer

• Join Evolv’s Technical Sales & Solutions (TS&S) team as an Associate Solutions Engineer focused on deployments.
• Installing systems, training operators, and supporting go-lives.
• Contribute to site surveys and pre-sales activities like pilots and demos.
• Ensure smooth deployments and exceptional customer experiences, bridging the gap between technical execution and customer success.

Associate Technical Sales Engineer

Infrastructure Engineer

• Design, build, and maintain both research and production data pipelines spanning edge devices, cloud services, and centralized data platforms.
• Own the full data lifecycle: collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement.
• Develop resilient ingestion pipelines capable of handling variable connectivity and device heterogeneity.
• Support secure data transfer from the field to cloud storage systems.
• Collaborate with field ops to enhance data coverage, observability, and operational robustness.
• Implement privacy‑preserving transformations and obfuscation pipelines.
• Build automated cleaning/validation steps to remove duplicates, detect corruption, and validate metadata.
• Establish data lineage, retention policies, and access controls ensuring compliance and traceability.
• Provide scalable data services for model training, evaluation, and research experimentation.
• Support continuous data refresh and retraining workflows.
• Integrate with data labeling services and annotation workflows.
• Enable efficient access patterns for large‑scale ML workloads.
• Build and optimize pipelines using AWS services (S3, EC2, SageMaker, Lambda, Glue, Step Functions).

Senior Data Infrastructure Engineer

Data Scientist

• Develop a strong understanding of Evolv’s sensor ecosystem, datasets, and ML pipelines.
• Review dataset structure, labeling processes, and existing exploratory data analyses.
• Run initial UMAP/PCA/t-SNE analyses to map data distributions and identify anomalies.
• Identify opportunities to improve data quality, labeling consistency, and dataset coverage.
• Perform deep representation analysis across sensor, time‑series, and feature data.
• Evaluate classical ML and deep learning models by linking model errors to data issues.
• Define data quality metrics and initial dataset acceptance criteria.
• Collaborate with data collection teams to guide targeted data acquisition and relabeling.
• Data mining on existing field data and understanding patterns and extract useful information and insights.
• Design methods to improve data quality, converting noisy/unverified data into clean/verified data.
• Own data‑centric insights that directly improve ML model performance.
• Establish ongoing monitoring of data drift, blind spots, and label quality.
• Provide strategic guidance for future data collection, annotation, and curation.
• Develop automated tools and dashboards for data quality reporting and representation analysis.

Senior Data Scientist

Product Manager

• Drive product strategy and execution from concept to launch, ensuring technical feasibility, customer value, and business impact
• Shape the roadmap, prioritizing high-impact investments and collaborating deeply with R&D
• Build strong relationships across the sales, customer enablement, support, service, and research & development organizations

Product Leader

Accountant

• Focused on processing and reviewing standard revenue contracts, ensuring compliance with ASC606, and supporting the monthly close.
• Apply meticulous attention to detail to ensure understanding and handling of orders are error-free and compliant.
• Gain the ability to independently review and process standard, repeatable sales orders, and revenue contracts.
• Collaborate with the Sr. Revenue Accountant to ensure sales order approvals process efficiently, avoiding bottlenecks.
• Consistently process routing contracts and maintain accurate revenue records with minimal supervision.

Revenue Accountant

Revenue Operations

• Participate in new hire orientation.
• Familiarize yourself with our instance of Salesforce.com and NetSuite.
• Understand the company’s product offerings and pricing.
• Support day-to-day requests for renewal pricing and quote support.
• Independently triage and respond to the majority of renewal requests from the GTM org.
• Document renewal, channel and general processes.
• Leverage Salesforce.com reports and Jira to manage day to day, triage requests and hold teams accountable for data integrity.
• Be an expert in providing renewal and general operational support to the GTM org.
• Leverage data driven insights to improve data hygiene and overall pipeline health.
• Coordinate across internal teams to ensure deadlines are met for specific deals.
• Assist with the processes related to ordering, booking and supporting the customer journey for direct and channel sales.
• Provide Salesforce.com account, opportunity and quote support.
• Proactively research upcoming renewals and create pricing workbooks.
• Manage asset tracking within internal systems.
• Monitor revenue retention, unit retention, churn, and upgrades.
• Use Salesforce.com and Jira to manage and address incoming requests for Revenue Operations support.
• Support the Deal Desk process by working with Account Executives to prepare requests including deal economics, business rationale and timelines.
• Partner with Account Executives and Channel Sales Executives to maintain data quality in Salesforce.com through the use of data quality dashboards.
• Drive adherence to internal processes and business rules.
• Provide support for various projects that drive business initiatives.
• Actively offer suggestions to streamline internal processes.

Revenue Operations Analyst

Frontend Engineer

• Develop a solid understanding of our software architecture, system constraints, and product requirements
• Build credibility with the engineering team by contributing high-quality code for feature enhancements / bug fixes
• Actively participate in design and code reviews
• Implement features designed by the team lead, following Evolv’s coding standards and technical guidelines
• Partner with the product team to gather and iterate on requirements, present software designs for team feedback, and ship polished code to customers
• Provide meaningful input into long-term architectural decisions and product roadmap planning
• Collaborate with the development team to explore user interface ideas and define application flows
• Review application requirements, identify user interactions, and build highly responsive UI components using React.js workflows
• Ensure UI components and the overall application are robust, well-tested, and easy to maintain
• Diagnose, troubleshoot, and communicate technical issues affecting customers’ experience on our platform, then implement targeted frontend fixes
• Monitor and continuously optimize front-end performance
• Document application changes and keep technical documentation current

Front End Developer

Machine Learning Engineer

• Design, develop, and optimize ML models—including XGBoost, Random Forests, SVMs, CNNs, and Transformers.
• Lead hyperparameter tuning, feature selection, and algorithm evaluation.
• Integrate models to production system, work with SW team on optimizing runtime speed and performance
• Develop reproducible training pipelines with model, data, and experiment versioning.
• Extract temporal, spectral, and domain‑specific features from raw sensor signals.
• Use data analytics tools such as UMAP and T-SNE to understand data distribution and feature characteristics.
• Model sensor characteristics such as noise, bias, drift, and environmental effects.
• Perform ablation studies and feature importance analyses (SHAP, PDP, etc.).
• Design multi‑class object detection and classification pipelines for noisy, imbalanced datasets.
• Define evaluation metrics including confusion matrices, calibration, and class‑wise scoring.
• Deploy production‑ready ML code impacting real customers.
• Ensure reliability through CI/CD, drift detection, and data validation.
• Optimize models for edge and compute‑constrained environments.
• Work with hardware, software, product and cross-functional teams.
• Communicate technical decisions and trade‑offs to senior stakeholders.

Senior AI/Machine Learning Engineer

Account Executive

• Expanding customer base and growing sales pipeline
• Managing customer and strategic relationships
• Articulating product value proposition across various segments
• Collaborate with internal teams to drive market engagement
• Evaluate sales stage duration and create paths for deal progression
• Deliver compelling product presentations
• Build and nurture relationships with channel partners

Senior Account Executive

• Build strong relationships with customers to ensure successful onboarding
• Collaborate with CX team and Senior Customer Enablement Managers
• Drive customer satisfaction and system utilization
• Conduct training sessions and deliver success plans
• Monitor customer health and manage renewal readiness

Director

• Drive annual/long-range planning process with CFO and CEO; translate strategy into OKRs and decision memos.
• Run internal operations and organic investment reviews using ROIC/NPV scorecards; recommend rebalance actions and drive follow-through with ELT.
• Collaborate with ELT and junior staff across all functions on related Company goals.
• Build theses and target pipeline with ELT; maintain deal cadence and reporting.
• Own M&A stage gate process, due diligence orchestration, and executive decision points.
• Stand up an Enterprise PMO for cross-company programs, including Quote-to-Cash (Q2C) (pricing/CPQ/Rev Cloud, ERP/CRM handoffs).
• Manage the Board preparation and follow up materials across the ELT; ensure concise, decision-oriented content.

Customer Enablement Manager

Associate Technical Sales Engineer

Senior Data Infrastructure Engineer

Senior Data Scientist

Product Leader

Revenue Accountant

Revenue Operations Analyst

Front End Developer

Senior AI/Machine Learning Engineer

Senior Account Executive

Customer Enablement Manager

Director of Strategic Programs