Jobs at Salesloft

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.

Build and maintain scalable data pipelines, transformation layers, and data services supporting internal reporting, business intelligence, analytics, and machine learning. Collaborate with data scientists and analysts to deploy models and solutions, integrate third-party data, optimize Snowflake warehouses, test and review code, and deliver production-ready infrastructure.

Build and operate production AI agents for enterprise revenue applications. Own agent architecture, execution loops, tool calling, memory, planning, multi-agent coordination, guardrails, evaluations, and reliability. Apply classical machine learning, causal inference, time-series forecasting, and deep learning to revenue models. Partner with Product and Engineering, mentor data scientists, and establish scalable agent-building practices and documentation.

Manage employee relations, investigations, leave processes, offboarding, exit interviews, workforce trend analysis, policy development, compliance projects, and internal communications. Partner with managers to deliver consistent employee support, improve engagement and retention, and maintain a high-quality employee experience across the organization.

Manage employee relations, investigations, leave-of-absence tracking, offboarding, exit interviews, workforce trend analysis, HR policies, state compliance projects, and corporate communications. Partner with managers to provide consistent employee support, improve engagement and retention, and deliver a high-quality employee experience.

Serve as the primary employee relations contact, handling investigations, exit surveys, interviews, employee questions, and offboarding. Partner with managers to provide consistent employee support, analyze workforce trends, recommend engagement and retention actions, maintain compliant company policies, craft corporate communications, and advise employees on benefits, perks, and processes.

Lead and mature the company’s privacy program, including policies, processes, education, GDPR, and CCPA/CPRA compliance. Negotiate and manage complex SaaS, software licensing, vendor, procurement, AI, data processing, and commercial agreements. Advise on privacy, AI, technology, intellectual property, sourcing, integrations, and partnerships while collaborating with Sales, Deal Desk, Procurement, Product, and Finance. Support end-of-quarter deal velocity and assist with adjacent employment and legal operations matters.

Lead the design, development, scaling, and operation of backend services supporting millions of workflows daily. Architect AI-based revenue forecasting solutions, resolve complex production issues, improve reliability and performance, build reusable data integrations and developer tooling, contribute to technical architecture, and mentor engineers. The role requires expertise in Java or Go, distributed systems, cloud platforms, databases, observability, testing, and enterprise-scale production software.

Own enterprise customer success by driving product adoption, retention, expansion, and measurable ROI. Build mutual success plans, conduct executive QBRs, analyze customer data, provide strategic sales-engagement guidance, and manage stakeholder relationships. Lead customer meetings, webinars, trainings, and difficult conversations while partnering with internal sales, finance, marketing, and leadership teams. The role also supports onboarding and mentoring newer customer success managers.

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.

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.

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.

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.

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.

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.