Top Remote Jobs in Boston, MA

Qualify inbound partner and prospect leads, conduct discovery conversations, assess business fit, route opportunities to appropriate business development or sales teams, and manage handoffs. Maintain CRM data hygiene, prioritize follow-up, resolve cases promptly, and use workflow tools to improve response times and prospect engagement. The role requires learning and communicating fintech, payments, blockchain, and digital asset concepts while collaborating with cross-functional teams.

Manages inbound partner and customer leads, responds within service-level agreements, conducts initial outreach, gathers qualification information, maintains accurate CRM records, routes leads to business development or sales teammates, and supports pipeline data hygiene. The role also uses CRM and AI-enabled tools for follow-up and prioritization and assists with qualified partner onboarding and activation.

Represent security compliance with customers, map frameworks to Zscaler capabilities, create reusable playbooks, educate sales teams, and complete security questionnaires and assessments. Translate technical security and data-protection concepts into business and sales messaging while supporting frameworks including NIST, ISO 27001, DORA, GDPR, PCI, and HIPAA. The role requires customer-facing credibility, compliance expertise, security architecture knowledge, and the ability to leverage AI-driven workflows.

Oversee and optimize learning and enablement platforms supporting Sales, Customer Success, and revenue teams. Develop learning systems strategy and governance, administer configurations and integrations, manage learning pathways, track adoption and content effectiveness KPIs, and coordinate LMS, CMS, and sales enablement vendors. The role partners across Enablement, IT, HR, Marketing, and Revenue Operations to improve scalable training, onboarding, and continuous enablement.

Leads technical customer Proof of Value engagements for Zero Trust Branch solutions. Builds advanced physical and virtual networking labs, troubleshoots complex L2/L3 networking escalations, authors deployment guides and reference architectures, and delivers technical enablement for systems engineers, professional services, and partners. The role requires deep enterprise networking expertise, packet analysis, lab automation, and customer-facing technical validation experience.

Designs AI-enabled healthcare services by mapping current workflows, creating future-state service blueprints, and partnering with product, engineering, clinical, and operations teams. Facilitates Lean and kaizen events, defines operational measures and baselines, develops change-management plans, supports launches, documents repeatable service designs, and promotes safe AI adoption across care teams and markets.

The Product Designer researches patients and care teams, designs AI-enabled healthcare experiences across EHR, SMS, voice, and portal channels, and prototypes and tests solutions with real users. The role owns design systems, accessibility, AI behavior and trust patterns, post-launch measurement, and continuous improvement. It partners closely with product, engineering, clinical, service design, legal, security, privacy, and compliance teams while building enterprise-ready products and reusable methods for local market teams.

Owns AI-enabled healthcare products from discovery through deployment, measurement, adoption, and scale. Defines product strategy, roadmaps, specifications, success metrics, business cases, and governance requirements while partnering with care teams, engineering, finance, security, legal, privacy, and compliance. Builds prototypes and AI tools, measures clinical, operational, and financial outcomes, drives responsible AI adoption, and communicates decisions and results to executive stakeholders.

Leads state-level business operations, profitability, growth, pricing, underwriting, sales, service, and claims strategies. Monitors market, regulatory, legislative, competitive, and catastrophe risks; coordinates cross-functional initiatives; manages regulatory relationships and filings; supports distribution growth and compliance examinations; and drives performance against state business plans.

Own the vision, strategy, roadmap, pricing, and platform economics for DigitalOcean’s App Platform, Serverless Functions, and Container Registry. Partner with engineering, infrastructure, finance, and go-to-market teams to improve developer experience, utilization, reliability, cost efficiency, and growth. Lead customer discovery, architecture tradeoffs, launches, competitive analysis, and post-launch outcomes across managed compute services.

Develop and deliver complex software features using Ruby on Rails and React. Responsibilities include system design, requirements clarification, deployments, operational support, performance and security improvements, database optimization, AWS infrastructure troubleshooting, SSO integrations, monitoring, web server administration, compliance implementation, automated testing, and mentoring junior engineers.

Leads Mastercard’s global AI Engineering organization within the AI Center of Excellence. Oversees end-to-end delivery and scaling of enterprise AI products, agentic AI solutions, reusable AI assets, and automation capabilities. Partners across engineering, infrastructure, data, security, architecture, risk, product, and business teams to ensure secure, reliable, governed production deployments. Drives adoption, measurable business outcomes, operational excellence, and responsible AI practices while developing a global organization of AI engineering leaders and technical talent.

Build AI agents and data acquisition systems, evaluate dataset quality, define quality KPIs, and improve data processes. Partner with product teams to deploy data into customer-facing products and acquire datasets from third parties, including coordinating vendors and contracts. The role requires organizing multiple projects, structuring analyses, communicating tradeoffs, and using data to support investment decisions and customer outcomes.

Leads financial and operational internal audits, including risk assessments, audit scoping, control testing, documentation, findings, and recommendations. Evaluates internal control effectiveness, identifies weaknesses, supports corrective actions, develops policies and procedures, performs analytics, and maintains risk-based audit plans. Collaborates with stakeholders, communicates audit results to management, monitors compliance, and applies technology to improve audit processes. Government contracting finance or accounting experience is required, with potential security clearance eligibility.

Support 4–8 clients by analyzing digital experience data, connecting technical findings to business outcomes, identifying root causes, and expanding platform adoption. Manage complex engagements, present analyses and proof-of-concept results, coordinate with Support and account teams, create executive value reports, and mentor newer analysts. The role requires prioritization across multiple client teams and occasional travel for annual meetings or strategic client engagements.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.