LeanData

Full-stack Engineer

• Build and ship production multi-agent systems end to end: agent control loops and planning, the orchestration graphs and tools they call, and the coordination, handoffs, state, and durability across agents
• Build the safe write-back path that applies agent decisions to a customer’s live systems without corrupting data
• Evaluate everything you ship: build the eval cases, rubrics, and regression tests that prove a change made the agent better
• Design agent memory and retrieval: persistent per-account context, pre-compute, and just-in-time lookups that keep reasoning fast, cheap, and reliable across many concurrent agent instances
• Harden against adversarial data so a crafted account name or note cannot hijack the agent
• Integrate frontier LLMs behind a model-agnostic abstraction with routing by task, cost, and latency; own the cost, latency, and reliability of your surface, and create the patterns that let the team build agents faster

Staff Engineer, Agents

Artificial Intelligence

• Lead and grow the AI Products team: hire, coach, mentor, and raise the technical bar
• Own the technical vision for our AI and agent platform, and build the evaluation infrastructure and abstractions other LeanData teams use to ship AI features
• Drive 0-to-1: turn ambiguous go-to-market problems into production-ready AI features, partnering with product, design, and data to shape the roadmap
• Own the quality, reliability, and delivery of the team’s AI work, and drive the model and LLM upgrade pipeline, balancing quality, latency, and cost

Head of AI Products

Product Designer

• Define and drive LeanData's product design vision across Orchestration, Scheduling, Buying Groups, and our emerging AI capabilities and new products
• Translate complex enterprise workflows into simple, coherent, and elegant user experiences within LeanData that scale with enterprise customer complexity
• Design AI-native orchestration experiences that shift users from manual configuration to intelligent, adaptive automation
• Identify opportunities where design innovation creates measurable competitive advantage
• Set and hold a high quality bar for interaction design, visual design, and systems thinking across every product surface
• Build and evolve LeanData's design system - establishing scalable patterns that unify the product experience across our suite
• Champion AI-native design patterns that simplify configuration, surface insights proactively, and reduce the cognitive load of orchestration
• Leverage data and insights around product utilization, drop-off, and engagement to make strategic calls on user experience investments and changes
• Lead, mentor, and grow a team of product designers, fostering a culture of craft, curiosity, and customer experience obsession
• Help designers do the best work of their careers through strong critique, clear career development, and an environment where creative risk-taking is rewarded
• Partner deeply with Product Management and Engineering as part of product triads - influencing strategy, not just executing on specs
• Embed user research, usability testing, and data-informed design practices into the product development lifecycle
• Represent design in executive and cross-functional forums, ensuring the voice of the customer shapes roadmap decisions
• Collaborate with crossfunctional teams to translate customer pain points into design priorities
• Navigate the unique opportunities and constraints of Salesforce-native architecture and cloud architecture, designing experiences that leverage the platform without being limited by it
• Design for multiple personas - from hands-on RevOps admins building complex routing logic, to sales leaders monitoring funnel health, to sales reps prioritizing how they work their territories, to executives making strategic GTM decisions
• Think end-to-end across the customer journey: onboarding, day-to-day usage, expansion, and support

Director of Product Design

Customer Success Manager

• Own the strategy, structure, and results of a 5–7 person CS team
• Lead the evolution of CS by leveraging our tech stack
• Drive efficiency through a "CS AI" motion for SMB accounts
• Direct execution of playbooks across our Solution Value Framework
• Maintain early-warning systems for churn risk
• Drive operational rigor and consistency through Salesforce and CS tooling
• Act as the primary voice of the customer
• Partner with Sales and Account Management on renewals and expansions
• Define, track, and report on adoption, engagement, customer health, time-to-value, and CSAT

Staff Engineer, Agents

Head of AI Products

Director of Product Design

Senior Director, Customer Success, Outcomes