Top Remote Senior Level Jobs in Boise, ID

Automate tests for web-based and mobile applications and RESTful APIs supporting high-transaction, big-data SaaS products. Drive high-quality releases, apply quality standards, support SDLC processes, solve complex problems, and promote a customer-first quality culture across the organization.

Leads pricing advisory and sales operations for B2B SaaS, including deal structuring, commercial strategy, value-based pricing, financial modeling, price book management, enablement, and pricing optimization. Partners cross-functionally with Sales, Product, Marketing, Finance, Deal Desk, and Legal to improve commercial processes, pricing decisions, and sales productivity.

Leads paid search strategy and client relationships while managing campaign execution across Google Ads, Microsoft Ads, and SA360. Oversees budgets, pacing, optimization, testing, reporting, and performance analysis; translates data into actionable recommendations and growth opportunities. Collaborates with internal teams and mentors junior staff to ensure high-quality execution and measurable client results.

Build and own end-to-end data products, including pipelines, transformations, semantic models, dashboards, metrics, and AI-enabled workflows. Partner with business and technical stakeholders to turn ambiguous questions into trusted, maintainable solutions. Establish data quality testing, documentation, monitoring, and governance while improving architecture and automation. Use Snowflake, dbt, Power BI, and related technologies to support analytics across Marketing, Product, Finance, and Engineering.

Build and ship customer-facing products across backend services, APIs, data models, React web interfaces, and Android point-of-sale applications. Learn unfamiliar platforms quickly, collaborate with product and design, deliver resilient code, and own testing, instrumentation, on-call support, and cleanup. The role emphasizes 0-to-1 product development, customer-focused decision-making, rapid experimentation, and using AI tools to improve development velocity and quality.

Principal Customer Success Manager responsible for strategic relationships with complex enterprise customers, driving adoption, measurable outcomes, retention, and expansion. The role develops success plans, influences product direction, establishes Customer Success best practices, leads cross-functional initiatives, mentors CSMs, analyzes account health and churn risk, and supports renewals, upsells, and cross-sells. Requires executive communication, strategic account management, business acumen, and familiarity with Salesforce, Gainsight, or similar platforms.

Design, build, deploy, and support scalable Java microservices on AWS. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Work with high-throughput data, messaging systems, distributed architectures, observability, and AI-assisted development tools. Participate in on-call support, mentor engineers, lead architectural initiatives, and deliver reliable SaaS platform features.

Leads internal and external compliance audits, assessments, attestations, and certifications across security, privacy, and enterprise frameworks. Develops system integrations and scalable automation to streamline audit and compliance programs. Communicates with internal and external stakeholders, evaluates risks, improves information security processes, and applies AI technologies to enhance workflows and decision-making.

Own enterprise reporting strategy and Sigma BI platform administration, governance, security, and development. Partner with business and analytics teams to define KPIs, build scalable data models and reporting frameworks, and enable root-cause analysis and self-service reporting. Lead Sigma adoption through training, documentation, and best practices. Collaborate on analytics engineering initiatives involving Databricks, dbt, data pipelines, AI, and machine learning while connecting data insights to business outcomes.

The Senior Data Scientist supports Customer Success through deep-dive analysis, predictive modeling, causal inference, experimentation, and KPI development. The role analyzes churn, retention, renewals, upsell opportunities, and revenue trends; diagnoses metric shifts; builds data pipelines and dashboards; and develops AI/LLM-powered solutions. The scientist collaborates with stakeholders, communicates insights, improves data quality, and measures the impact of customer success initiatives and product changes.

Lead Coursera’s company-wide mobile strategy and multi-year product vision for apps serving millions of learners. Own investment priorities, product execution, discovery, design, delivery, optimization, experimentation, and measurable outcomes. Partner with engineering, design, data science, marketing, and executive stakeholders to develop engaging mobile learning experiences, improve growth and retention, and establish product standards adopted across teams.

Leads a managed services engineering team supporting mainframe environments. Oversees customer satisfaction, service-level agreement delivery, staffing, resource allocation, operational processes, continuous improvement, budgets, vendor relationships, and technical service optimization. Serves as product owner for assigned services, manages performance and development, coordinates strategic technology planning, and supports customer reviews and escalations. Requires mainframe expertise, consulting leadership, ITIL knowledge, process improvement skills, and the ability to manage complex customer and business priorities.

Leads CDW’s Salesforce MarTech services business, including growth strategy, sales pursuits, partner relationships, delivery oversight, financial performance, customer success, and workforce development. Builds and scales Salesforce capabilities across industries, oversees complex engagements, manages pipeline, revenue, margins, forecasting, and staffing, and develops delivery methodologies and talent. Requires executive leadership across matrixed teams, strategic customer and partner engagement, and extensive Salesforce consulting or delivery experience.

Leads and develops a team of Sales Specialists, drives revenue and profitability, executes sales strategies, manages performance, and builds customer and partner relationships. The role includes recruiting, coaching, territory planning, analyzing sales metrics and market trends, improving team execution, and collaborating with internal stakeholders and vendor partners to achieve business objectives.

Own Motive’s internal AI product strategy and roadmap for go-to-market teams. Translate business needs into technical requirements, guide agile development and releases, manage AI data and usage policies, evaluate vendors, forecast LLM costs, build investment cases, and drive adoption through training and executive communication. Partner closely with revenue developers, enterprise systems, procurement, legal, infosec, and business leaders to deliver AI agents, applications, and prompts.

Own Motive’s global financial products compliance program across AML/BSA, sanctions, KYC/KYB, PEP screening, transaction monitoring, lending compliance, audits, and regulatory relationships. Develop policies and controls, ensure operational effectiveness, manage bank and card network partners, monitor regulatory changes, support compliant product launches, and establish governance across multiple jurisdictions including the US, Canada, and UK/EU. Build the compliance function and advise leadership on compliance risk.

Own sales enablement and product marketing for cybersecurity and AI resilience solutions. Responsibilities include developing positioning and messaging, creating sales collateral, leading sales onboarding and certification programs, supporting product launches, partnering with Product and Sales, gathering field feedback, and measuring enablement effectiveness. The role translates complex technical capabilities into clear, compelling, sales-ready content and training.