Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Owns sales compensation policy strategy, crediting frameworks, exception governance, audits, and field enablement. The role manages compensation policies across draws, transfers, promotions, terminations, clawbacks, renewals, overlays, splits, and non-standard deals. It partners with sales and cross-functional leaders, documents decisions, improves governance controls, and translates recurring exceptions into policy and plan changes.

Own the Global Support organization’s annual operating plan, capacity, headcount, and cost models. Lead monthly and quarterly business reviews, develop reporting frameworks, validate metrics, and provide executive-level insights and recommendations. Partner cross-functionally with Support, Finance, Workforce Management, and People to improve productivity, staffing, cost-to-serve, vendor strategy, and customer experience. Use AI and self-service analytics tools to accelerate modeling, reporting, and operational decision-making.

Manage scaled customer success for complex mid-market accounts using Samsara’s IoT platform. Responsibilities include driving adoption, demonstrating technical product value, diagnosing issues, leading customer workshops, recommending workflow transformations, developing action plans and success metrics, coordinating cross-functional teams, influencing product roadmaps, and supporting renewals and expansion.

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

Leads strategic marketing initiatives for PwC’s Cyber and Technology Risk practice, including market research, campaign development, digital marketing, content strategy, performance analysis, stakeholder engagement, and business development. The role manages CRM-supported client relationships, strengthens brand visibility, drives revenue growth, and coaches marketing team members.

Develop and optimize AI and machine learning algorithms, models, and scalable Python systems. Transform raw data into actionable insights, apply machine learning libraries and NLP techniques, improve data quality, and deliver automation solutions for clients. The role also involves complex data analysis, stakeholder collaboration, client relationship management, and navigating ambiguous business challenges.

Advise clients on state and local income franchise tax matters, interpreting regulations and optimizing tax positions. Lead multistate tax compliance, payroll tax efficiency reviews, reverse audits, and unclaimed property compliance projects. Manage planning, budgeting, execution, and completion while maintaining technical standards. Coach and develop team members, manage client accounts, address conflicts, identify tax opportunities, and promote innovative service delivery.

Supports compensation operations in Workday and related HR systems by maintaining data, generating reports, conducting audits, testing system updates, and supporting annual and off-cycle compensation cycles. Coordinates documentation, meetings, trackers, templates, and leadership materials. Identifies data discrepancies, resolves issues, escalates risks, and contributes to process improvements, reporting enhancements, and administrative workstreams while maintaining confidentiality and data accuracy.

Manage GM sales and service agreements across North Central Texas dealerships. Advise dealer leadership, drive revenue, retention, customer experience, KPI performance, and program execution. Analyze marketing and merchandising plans, create annual business plans, resolve aftersales customer cases, and support warranty and policy requests. Frequent territory travel and dealership visits are required.

Manages GM dealer relationships across Vermont, New Hampshire, and upstate New York. Drives district revenue, customer retention, service and parts performance, customer experience, and KPI achievement. Advises dealership leadership, develops business plans, analyzes marketing and merchandising strategies, resolves aftersales customer cases, supports warranty and policy requests, and ensures execution of training and customer care programs. The role requires frequent territory travel and automotive dealership fixed-operations expertise.

Leads and scales Advisory, Delivery, and Support workstreams across a distributed technical services organization. Establishes shared operating standards, capacity planning, quality controls, SLAs, escalation processes, reporting, and governance. Oversees technical delivery outcomes, resource allocation, architecture quality, support coverage, hiring plans, onboarding, and partner collaboration. Partners with Enablement, Sales, Project Managers, and SI/GSI organizations to improve delivery predictability, utilization, client satisfaction, and technical excellence.

Supports semiconductor engineering projects through device testing, characterization, data analysis, process development, and optimization. Collaborates with cross-functional teams to troubleshoot technical issues and improve semiconductor design and manufacturing processes. The internship provides hands-on experience with semiconductor technology, engineering tools, and simulation software.

Develop and test AI software using large datasets, Python, JavaScript, and C++. Evaluate algorithms, statistics, and data to improve industrial applications. Collaborate with machine learning and data engineers on end-to-end AI and integration solutions, stay current with AI trends and regulations, and present project progress to leadership and stakeholders.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Own the full sales cycle for Gusto’s PEO offering, from prospecting and discovery through demos, complex stakeholder navigation, and closing. Sell to net-new prospects and existing payroll customers, build broker and accountant referral channels, manage Salesforce pipeline and forecasting, and serve as a PEO subject matter expert. Leverage AI in daily sales workflows, collaborate cross-functionally, and help build the company’s founding PEO sales motion.

Build and lead operations for Gusto’s carrying broker-dealer from the ground up. Establish policies, procedures, controls, and scalable work plans for money movement, trade clearing, reconciliations, remediation, and regulatory reporting. Resolve complex operational exceptions, maintain audit-ready compliance controls, collaborate with Engineering, Product, Legal, Compliance, FinOp, Accounting, and FP&A, and hire and develop an AI-native operations team.

Manage and enhance Salesforce Sales Cloud and Experience Cloud environments through configuration, automation, security, data governance, reporting, and deployment pipelines. Provide user support, troubleshoot issues, maintain data integrity, manage access, train and onboard users, document processes, evaluate new technologies, and collaborate with stakeholders in an Agile team.

Leads Mobile Service Coordinators during overnight and weekend shifts, managing daily operations, staffing, service levels, escalations, performance metrics, coaching, and employee development. The Supervisor partners with dispatch, fleet services, client success, and field teams to resolve issues, improve processes, and enhance customer satisfaction. Responsibilities also include workforce planning, onboarding, compliance, team communications, and fostering accountability and continuous improvement.

Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.