Top Productivity Jobs in Boston, MA

Leads commercial CRM sales for ServiceNow by selling to customer service, field operations, revenue operations, and sales leaders. Builds executive relationships, develops account and territory plans, leads virtual teams, conducts discovery and demonstrations, advises customers on CRM solutions, manages business reviews, and identifies expansion opportunities. Requires software or solutions sales expertise, strong quota performance, C-level relationship management, AI fluency, and willingness to travel up to 50%.

Manages event travel programs from post-sale planning through final billing, supporting travelers with booking changes, cancellations, fare information, and issue resolution across hotels, flights, cars, and rail. Builds client relationships, coordinates program objectives, maintains service documentation, supports account teams, and contributes to revenue and customer satisfaction. Requires strong travel booking, GDS, communication, multitasking, and customer service skills, with flexibility for nontraditional shifts.

Develop and maintain scalable ServiceNow software and web applications, create custom scripts and business rules, build REST and SOAP integrations, troubleshoot configuration issues, and resolve software bugs. The role supports customer implementations, requirements reviews, Scrum ceremonies, and multiple projects. Candidates need at least five years of JavaScript or ServiceNow development experience, ITOM expertise, strong communication skills, and a bachelor's degree or equivalent experience.

Supports sales teams and partners through enablement, onboarding, CPQ guidance, quote review, pricing approvals, contract coordination, ticket resolution, order processing, booking validation, and partner incentive programs. The role also identifies process improvements, supports automation and AI-assisted workflows, and ensures compliance with Revenue Operations policies. Success requires strong communication, analytical, coaching, problem-solving, numerical, and stakeholder-management skills, along with sales operations or deal desk experience and fluency in English.

Guide law firm clients through onboarding, configuring case management platforms, data migration, testing, training, and ongoing advisory to optimize workflows, automations, and adoption.

Leads Robin’s Technical Support team, including specialists and a Support Operations Manager. Responsibilities include coaching staff, managing KPIs and ticket queues in Jira, resolving escalated customer issues, improving support processes and documentation, identifying issue trends, partnering with Engineering and Product on root-cause fixes, and adopting AI-assisted support tools.

Own readiness and enablement programs for SDR teams, including onboarding, sales training, prospecting, qualification, product knowledge, tool adoption, AI workflows, and manager coaching. Facilitate workshops and role-plays, develop learning content and playbooks, partner with sales, marketing, operations, and systems teams, and measure impact through ramp time, conversion, pipeline, proficiency, and adoption metrics.

Own lifecycle email and in-app campaigns for portfolio products using Iterable and HubSpot. Build, schedule, test, and optimize customer journeys; coordinate cross-functional marketing projects; develop A/B tests; analyze campaign performance; improve execution systems and processes; and support cross-product adoption across Superhuman’s product suite.

Manage enterprise accounts across an assigned region, carrying quota for Boomi’s product suite and driving revenue growth within existing customers. Develop long-term account strategies, advise customers on data integration and platform solutions, align technology with business goals, and engage C-level, IT, and business stakeholders. Lead consultative and solution sales, collaborate with architects and service integrators, participate in field events, and execute discovery, objection handling, presentation, planning, and closing activities.

Leads a multidisciplinary data science and data engineering team supporting Finance. Sets strategy, prioritizes initiatives, guides analytical models and data architecture, advances AI and machine learning applications, improves data quality and reliability, establishes scalable operating processes, and communicates technical recommendations to Finance and executive stakeholders. The role also manages talent, oversees forecasting and decision-support outcomes, and drives measurable business impact.