Salesloft

AI Engineer

• Owning and driving AI product initiatives e2e from ideation to launch to retention.
• Engage with customers to understand their needs and translate them into compelling solutions
• Identify new product opportunities and anticipate potential risks and blockers
• Collaborate with leaders of other functions to refine product strategy and execute process improvements
• Build alignment and drive decision-making across company-wide initiatives
• Build impactful relationships and driving collaborative initiatives across functional teams, effectively influencing stakeholders at all levels
• Contribute to technical trade-offs, design clean product interfaces and abstractions, and build systems to scale customer, competitor, and market understanding throughout the organization
• Work closely with Engineering to drive an efficient R&D process, from leading scrums to coordinating product releases
• Collaborate with Customer Success and Go-to-Market teams to ensure that we maximize the product's impact on both customers and our business

Staff Product Manager – AI Platform

Revenue Operations

• Own the Product Strategy: Drive the vision and roadmap for your product domain by balancing customer feedback, competitive analysis, and long-term business strategy to ensure we maintain our industry-leading edge.
• Lead Product Discovery: Deeply understand buyer and seller personas. Conduct user research, synthesize quantitative data, and run experimentation loops to validate user needs and flesh out clear, actionable product requirements.
• Execute & Deliver: Partner closely as the core product owner alongside dedicated Engineering Managers, Tech Leads, and UX Designers to translate user stories into technical requirements and guide features from concept through successful launch.
• Define & Track Success Metrics: Establish clear, measurable KPIs for product releases (e.g., adoption rate, retention, feature usage). Continuously monitor metrics post-launch to iterate and optimize the user experience.
• Enable Cross-Functional Teams: Act as the subject matter expert for your product domain, collaborating with Product Marketing, Sales, and Customer Success to ensure internal alignment, clear launch documentation, and external market readiness.

Senior Product Manager – Revenue Intelligence

Product Designer

• Define and execute a cohesive UX strategy across the full product suite. You will ensure that our platform feels like a unified ecosystem rather than a collection of features.
• Partner deeply with the VPs of Product and Engineering to influence the product roadmap. You’ll act as the voice of the user at the executive level, ensuring our "North Star" vision is grounded in user needs.
• Lead the evolution of our platform into an AI-first experience. You will define how generative AI and predictive analytics manifest in the UI to empower, rather than overwhelm, the user.
• Lead, scale, and inspire a high-performing global team of ~17 designers. You’ll foster a culture of craft excellence, psychological safety, and continuous learning.
• Oversee our design system to ensure UI consistency, accessibility, and development velocity. Optimize our design-to-engineering handoff processes.
• Champion a research-led culture. Ensure that qualitative and quantitative insights are the foundation of every major product decision.

Vice President, User Experience – Design

Full-stack Engineer

• Shape future-proof interfaces that are easy to build against and meet the requirements of client-facing teams
• Brainstorm with Product Managers, Designers, Frontend Engineers, and other cross-functional partners to conceptualize and build new features for our growing user base
• Produce high-quality results by leading or contributing heavily to large cross-functional projects that have a significant impact on the business
• Debug production issues across services and multiple levels of the stack, and uplevel the observability and reliability of the overall system
• Improve engineering standards, and AI tooling adoption.

Staff Engineer, Revenue Management – Intelligence

Product Manager

• Own the end-to-end product strategy for agentic selling experiences
• Define AI agents' actions on sellers' behalf
• Lead cross-functional teams in product development
• Set direction and resolve trade-offs for complex problem areas

Staff Product Manager, Agentic Experiences

Marketing Operations

• Lead day-to-day marketing operations execution
• Act as the primary administrator and architect for our Marketo instance
• Design, optimize, and maintain lead routing graph using LeanData
• Build and scale robust automations across our stack using Tray.io
• Manage marketing operations agency relationship
• Lead critical operational cadences

Senior Marketing Operations Manager

Account Manager

• Serving as the primary point of contact and ultimate owner of the account relationship
• Managing all commercial transactions including upsells, cross-sells, and the end-to-end renewal process
• Actively prospecting within your assigned territory to identify, qualify, and close new ACV opportunities
• Developing and executing success plans for high-value accounts
• Monitoring account health and usage patterns to identify potential churn risks early
• Cultivating ties with VPs, C-suite executives and key stakeholders
• Provide leadership with accurate monthly and quarterly revenue forecasts
• Staying up to date of industry trends and competitor movements
• Partnering with Customer Success, Product, and Support teams to resolve complex client issues
• Partnering with Renewal Account Managers to streamline execution of lower-spend accounts

Commercial Account Manager

• Educating the market about the power of Clari / Salesloft and generating new opportunities and securing renewals within your existing customer
• Forecast sales activity and revenue achievement while creating satisfied and reference-able customers.
• Keep up with industry trends, competitive landscape, and customer needs.

Senior Commercial Account Manager

• Embed with feature teams to understand data needs from the context layer
• Build the technical vision and roadmap for the Context Layer
• Design access control and RBAC model for the context layer
• Define and evolve APIs, SDKs, and developer interfaces
• Identify data platform dependencies and collaborate with data engineering
• Drive architecture discussions, design/code reviews, and set technical standards
• Address governance and security requirements around data access
• Contribute to hiring strong and diverse talent