Jobs at Precisely

Provides technical presales support by discovering customer requirements, designing Precisely solutions, leading technical discussions, delivering customized demonstrations, and implementing proofs of concept. Builds cloud and AI-driven data solutions using platforms such as Databricks, Snowflake, AWS, Azure, and GCP. Advises customers on data strategies, supports sales teams, influences product positioning, and represents the company at industry events. The role is fully remote in the United States with approximately 30% travel.

Leads architecture and development of scalable Node.js SaaS applications and data products. Responsibilities include designing systems, translating stakeholder needs into technical backlogs, writing user stories, coordinating architecture decisions, supporting product planning, improving business processes, and mentoring engineers. The role also incorporates AI-assisted development, code review agents, LLM APIs, agentic workflows, and generative AI tools.

Sell Precisely’s RapidCX SaaS platform to regulated industries, particularly financial services and insurance. Responsibilities include developing territory business plans, generating pipeline, managing complex sales cycles, expanding existing accounts, building client and partner relationships, negotiating value-based solutions, forecasting in Salesforce, and collaborating with marketing, sales engineering, and services teams. Approximately 25% travel is required.

Sell Precisely’s RapidCX SaaS platform to regulated financial services and insurance organizations. Responsibilities include prospecting, developing territory plans, managing pipelines and forecasts in Salesforce, closing new business, expanding existing accounts, building client and partner relationships, and collaborating with marketing, sales engineering, and services teams. The role requires enterprise software sales expertise, value-based selling, industry knowledge, AI tool adoption, and approximately 25% travel.

Own reliability, performance, scalability, and operational standards across on-premises, private-cloud, and AWS environments. Build infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling; define SLOs, SLIs, error budgets, and readiness standards. Lead incident response, root-cause analysis, disaster-recovery readiness, release coordination, and preventive automation. Mentor engineers, coach teams on operational practices, coordinate on-call coverage, and ensure infrastructure meets security and compliance requirements.

Own enterprise software sales across the SLED West territory, focusing on California insurance accounts. Build pipeline, develop territory plans, manage complex sales cycles, expand existing accounts, negotiate value-based deals, collaborate with marketing and sales engineering, leverage partners, maintain Salesforce forecasts, and drive customer value throughout the lifecycle.

Remote Sales Engineer responsible for technical discovery, product presentations, demonstrations, proof-of-concepts, workshops, and pre-sales training. The role partners with Account Executives, advises customers on SAP, cloud modernization, AI, data quality, and data strategy solutions, and develops custom solutions using platforms such as Databricks, Snowflake, AWS, Azure, and GCP. Requires customer-facing relationship management, generative AI knowledge, cloud-native experience, and approximately 25–30% travel.

Remote Sales Engineer responsible for technical discovery, product demonstrations, proof of concepts, workshops, solution scoping, and presales training. The role partners with Account Executives and advises customers on Precisely solutions, SAP, cloud modernization, AI initiatives, data strategies, and SaaS architecture. Candidates will use platforms such as Databricks, Snowflake, AWS, Azure, and GCP, while presenting to technical, operational, and executive stakeholders. Travel is approximately 25%–30%.

Leads the strategy, launch, governance, and continuous improvement of premium support programs. Establishes scalable frameworks, KPIs, roadmaps, and reporting; drives AI, automation, and self-service adoption; and coordinates execution across Support, Product, Sales, Marketing, and Customer Success. The role supports enterprise customer engagements, escalations, sales enablement, pricing validation, renewals, upsell motions, and executive communications while improving customer value, operational efficiency, margins, and program growth.

Lead FedRAMP certification and compliance programs for cloud and SaaS offerings from planning through continuous monitoring. Coordinate product, security, cloud, engineering, customers, and other stakeholders; manage scope, resources, risks, milestones, deliverables, and action items. Provide technical guidance on federal security requirements, compliance reporting, and solution quality while using AI tools to improve documentation, processes, and regulatory control validation.

Own key FP&A processes including financial reporting, cash forecasting, budgeting, long-range planning, financial modeling, and ad hoc analysis. Partner with cross-functional teams and executives to provide insights, improve processes, automate workflows, and align operational plans with financial goals. The role requires advanced Excel skills and use of AI productivity tools such as Claude and Microsoft Copilot.

Own FP&A processes supporting Sales and Go-To-Market leadership, including financial reporting, forecasting, pipeline and bookings analysis, sales capacity modeling, quota and compensation planning, variance analysis, and strategic projects. Develop financial models and improve process automation using Excel, Workday Adaptive Planning, CRM data, and AI productivity tools. Partner with executives to translate financial data into actionable business insights.

Design, architect, develop, test, and support scalable full-stack applications for a data catalog platform. Own features end to end, contribute to technical strategy and roadmaps, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Build multi-tenant systems supporting high data volumes and near-real-time analytics while applying AI-assisted development practices.

Drive enterprise software sales across named Federal, Department of Defense, and aerospace and defense accounts. Develop territory plans, generate pipeline, close new business, expand existing accounts, build executive relationships, manage complex sales cycles, collaborate with marketing and sales engineering, leverage partners, and maintain forecasts in Salesforce CRM. The role is fully remote in the Mid-Atlantic US and requires approximately 25% travel.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Design, architect, develop, test, and support scalable full-stack applications for a high-volume, multi-tenant data platform. Own features from design through delivery, contribute to technical strategy and roadmap development, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Apply cloud-native technologies and AI-assisted development practices while supporting near-real-time analytics and reliable production operations.

The Senior Sales Operations Manager partners with Sales leadership to improve forecasting, pipeline health, revenue execution, CRM discipline, reporting, and sales productivity. Responsibilities include managing forecasting cadences, analyzing complex datasets, building Salesforce and BI dashboards, improving sales processes and data quality, supporting executive business reviews, and coordinating cross-functional GTM initiatives. The role also uses AI-enabled tools and automation to enhance reporting, analysis, decision-making, and operational efficiency.

Sell Precisely’s Data Integrity SaaS solutions throughout the Northeast territory. Responsibilities include generating pipeline and revenue, managing complex sales cycles, expanding existing accounts, developing client relationships, collaborating with marketing and sales engineering teams, leveraging channel partners, forecasting territory performance in Salesforce, and supporting regional sales strategy.

Lead delivery and adoption of an AI-enabled PMO across Professional Services: own program end-to-end, identify high-impact AI use cases and ROI, deliver billable client engagements, enable and train teams, govern AI outputs, and run program cadence including backlog, reporting, and stakeholder alignment.

Lead and develop a team of enterprise account executives selling data integrity solutions to banks and capital markets. Coach AEs to engage CXOs and technical buyers, drive multi-solution platform deals, enforce MEDDPICC, use pipeline analytics for coaching and forecasting, align cross-functionally, and own executive relationships and operating cadence to grow deal size, pipeline, and strategic account penetration.