Top Entry Level Remote Jobs in Denver & Boulder, CO

Build and grow technology partnerships that generate referrals, co-sell opportunities, pipeline, and revenue. Recruit and onboard partners, develop joint go-to-market plans, enable sales teams, support deal strategy, and coordinate cross-functional stakeholders. Assess integration and API opportunities, communicate technical value, and track partner performance across referrals, pipeline, revenue, and engagement. The role focuses on B2B SaaS technology alliances rather than integration support.

Own end-to-end intake onboarding for plaintiff law firms, including voice-agent customization, call flows, firm knowledge bases, transfer rules, scoring, phone integrations, CRM/DMS handoffs, and e-signature setup. Establish onboarding standards, document repeatable processes, train internal teams, and manage intake-focused accounts. The role requires translating legal intake expertise into configurable AI workflows while collaborating with customer success, integration engineering, and law firms.

Design and build software for global network infrastructure, including automation, orchestration, provisioning, device lifecycle management, telemetry, validation, and remediation. Integrate DPUs, SmartNICs, and programmable networking into scalable cloud infrastructure. Lead architecture, RFCs, technical proposals, and complex initiatives while mentoring engineers and setting technical direction across network, hardware, compute, storage, and security teams.

Leads product strategy, roadmap, modernization, and lifecycle management for insurance rating, commercial submissions, and carrier connectivity products. Partners with customers, carriers, Engineering, Design, Sales, Marketing, and Product Operations to define workflows, prioritize investments, launch software, and drive adoption, revenue, retention, transaction volume, and customer satisfaction. The role emphasizes AI, automation, APIs, data, market research, and cross-functional leadership.

Partners with SMB sales and account management leadership to improve sales performance and operational effectiveness. Owns reporting cadences, forecasting, pipeline analysis, capacity planning, and business reviews. Develops strategic initiatives, improves sales processes, and leads cross-functional projects with Sales, Systems, Business Intelligence, Finance, and Marketing. Uses data analysis and AI tools to identify opportunities, inform leadership decisions, and drive measurable outcomes.

Lead security architecture and design reviews, define standards for protecting sensitive healthcare data, build automated defenses, guide security monitoring and incident response, translate complex objectives into engineering requirements, and mentor engineers through code and design reviews.

Source and engage technical talent, primarily for engineering roles, using LinkedIn Recruiter, Juicebox, Ashby, referrals, talent communities, market mapping, and creative outreach. Partner with recruiters and hiring managers to refine profiles, share market insights, build diverse pipelines, conduct initial candidate screens, and deliver a positive candidate experience in a fast-paced, metrics-driven environment.

Conduct high-volume outbound calls to identify, engage, and qualify education-sector prospects. Research decision-makers, map accounts, overcome objections, and generate qualified opportunities for Account Executives. Maintain accurate CRM records, track activity metrics, learn the company’s products and market, and collaborate in training and sales initiatives.

Manages and grows a portfolio of enterprise customers by retaining accounts, driving product adoption, renewing contracts, and identifying upsell opportunities. Builds executive relationships, develops strategic account plans, sells solution value and ROI, manages complex expansion deals, and collaborates with customer success, marketing, product, legal, and pre-sales teams. Maintains opportunities in Salesforce and travels approximately 40%.

Lead Affirm’s enterprise AI security review program, threat model LLM and agentic systems, review code and configurations, and develop security guardrails, tooling, policies, and monitoring. Evaluate AI-enabled SaaS vendors, identify emerging vulnerabilities, support incident response, and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance. The role requires expertise in AI security architecture, threat modeling, IAM, cloud infrastructure, policy-as-code, and regulated enterprise environments.