Jobs at Salesloft

Manage a portfolio of SaaS customers by driving product adoption, retention, expansion, and satisfaction. Build mutual success plans, conduct QBRs, analyze customer data, demonstrate ROI, provide sales engagement guidance, and lead executive-level meetings, webinars, and trainings. The role requires cross-functional collaboration, stakeholder management, strong communication, technical fluency, and strategic customer relationship ownership.

Lead global revenue enablement strategy, onboarding, everboarding, product education, sales methodology, and learning programs. Manage enablement leaders, align with Sales, Product, and Marketing executives, and improve ramp time, seller productivity, pipeline generation, and revenue outcomes through measurable, scalable programs and enablement technology.

Manage enterprise customers to drive product adoption, retention, and expansion. Build Mutual Success Plans, lead QBRs, analyze customer data to surface insights, provide strategic sales engagement guidance, run trainings/webinars, and manage executive relationships. Partner internally to resolve issues, demonstrate ROI, and ensure renewals and customer satisfaction.

Design and implement solutions to improve availability, resiliency, and operational maturity of cloud services. Define and implement SLIs/SLOs, improve failure detection and isolation, participate in incident response and retrospectives, build/manage critical third-party services, influence system design, and optimize systems for fault tolerance, disaster recovery, and efficiency while mentoring peers.

Support and scale cloud-based RDBMS and NoSQL systems, build automation/IaC for deployments, manage backups and HA, monitor and troubleshoot performance, collaborate on schema changes, and enforce data integrity and security standards to ensure reliable 24/7 operation.

Lead Salesforce administration and business systems strategy across Sales Cloud, Service Cloud, and connected go-to-market systems. Responsibilities include complex configuration, declarative development, security, maintenance, integrations, data flow management, process optimization, documentation, and configuration governance. The role also owns roadmaps for key business systems, prioritizes enhancements, partners with cross-functional stakeholders, and implements solutions that improve efficiency and reduce manual work.

Conduct machine learning research, develop AI and ML product feature prototypes, and solve business problems using structured and unstructured data. Collaborate with product, engineering, sales, and customer success teams to define data science initiatives. Apply statistical methods, NLP, classic machine learning, and agentic AI. Manage complex projects, translate research into actionable insights, and communicate technical concepts to stakeholders.

Own AI and machine learning research projects that improve sales productivity. Apply agentic systems, NLP, and machine learning; design experiments; develop prototypes and production-ready models; collaborate with product, design, and engineering; influence the AI roadmap; and mentor junior researchers.

Lead the Revenue Intelligence product for predictive sales forecasting: define strategy and roadmap, run discovery and experiments, translate requirements for engineering and design, launch features, and track KPIs to drive adoption and revenue outcomes.

Lead FP&A and corporate financial planning: own Pigment planning tool, build operating and long-term models, prepare management reporting, forecast product-level P&Ls, perform scenario and ROI analysis, and support month-end variance analysis.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

The role involves managing a team of engineers, providing mentorship, conducting performance reviews, handling customer escalations, and leading development initiatives to enhance the product and support sales engagement strategies.

Lead AI-driven product initiatives from ideation through launch and retention. Own roadmap for transcript intelligence and insights, engage customers, coordinate cross-functional teams, drive integrations with CRM and GTM, and influence company-wide strategy and technical trade-offs.

SalesLoft invites individuals interested in joining their company to submit their resumes for future opportunities, emphasizing a supportive culture and growth potential.

Support and lead financial planning and analysis: own Pigment post-merger planning, build operating and long-term financial models, produce monthly/quarterly management reporting, create product-level P&Ls and automated customer cubes, perform ad-hoc scenario and ROI analyses, collaborate cross-functionally on R&D and company forecasting, and assist accounting with month-end close and variance analysis.

Build and operate production AI agents: define agent architecture, implement reasoning/execution loops, tool-harness, memory, planning, guardrails and evaluation. Integrate ML/time-series revenue models, lead system design, mentor peers, and partner cross-functionally to deploy reliable agentic workflows at enterprise scale.

Own full-cycle commercial accounts including renewals, upsells, cross-sells and net-new revenue within an SMB territory. Build executive relationships, develop account plans, monitor account health to prevent churn, forecast accurately, and collaborate with Customer Success, Product, and Support to solve complex issues and drive expansion.

Own a portfolio of enterprise accounts driving renewals, expansions, and net-new revenue. Build C-level relationships, create strategic account plans, lead executive business reviews, manage retention and forecast accuracy, coordinate cross-functional teams, and surface customer feedback to influence product roadmap.

Engineer and administer identity, access, endpoint, and SaaS systems. Support Okta-driven SSO/MFA and user lifecycle, manage Google Workspace/Slack/Zoom and MDM (Jamf/Intune), automate provisioning and license tasks, triage escalated IT issues, and maintain documentation, runbooks, and process improvements.

Serve as the primary enterprise Customer Success Manager to drive adoption, retention, and expansion. Build Mutual Success Plans, deliver QBRs, analyze customer data for insights, lead executive conversations and trainings, partner internally to remove blockers, and demonstrate measurable ROI while guiding customers on sales engagement best practices.