Jobs at LeanData

Design, build, and ship full-stack features end-to-end; own significant technical work and standards; use AI tooling across the SDLC; debug and resolve production issues across modern and legacy systems; drive maintainability and fast, reliable delivery.

Lead and scale the Mid-Market Customer Success organization, owning segmentation, engagement models, success planning, and retention metrics. Drive operational rigor using Salesforce and CS tooling, develop leadership depth, run executive business reviews, partner cross-functionally on renewals and product priorities, and build an AI-driven CS motion to improve efficiency and measurable customer outcomes.

Own and execute the partner integration and joint-value strategy across LeanData's product suite. Define partner use cases, shape integrations, negotiate agreements, drive cross-functional delivery, and measure adoption to grow the ecosystem and product adoption.

Lead and scale talent acquisition: build hiring strategy, forecast headcount, run end-to-end recruiting, mentor a TA team, modernize recruiting tech (including ATS and AI), track KPIs, and run high-impact searches as a player-coach.

Owner of People Operations programs including payroll, benefits, HRIS, and compliance. Lead cross-functional HR projects, improve HR processes, advise leaders on employee relations and compensation, and provide people-analytics insights to inform decisions.

Design end-to-end product experiences for a SaaS platform: user flows, wireframes, mockups, and prototypes. Partner with PMs and engineers, conduct user research and usability testing, maintain design system and visual assets, deliver developer specs, iterate from feedback, and measure post-launch impact to improve adoption and engagement.

Lead the modernization of AWS cloud infrastructure, implement automation, ensure system reliability, and manage performance with a focus on security and incident response.

Lead and grow a hands-on AI Products engineering team building LLM and agent capabilities. Own technical vision, evaluation practices, and production delivery. Split time between management and coding, drive 0-to-1 product work, and ensure model quality, reliability, and upgrade pipelines.

Design, build, and ship production multi-agent LLM systems including orchestration, memory/retrieval, safe write-back to customer systems, evaluations and regression tests, adversarial hardening, LLM model-agnostic integration, and cost/latency/reliability ownership at enterprise scale.

Lead product design for LeanData, transforming revenue team experiences, setting design vision, building a team, and driving cross-functional impact.

The GTM Engineer leads the design of a data layer and autonomous systems for AI-driven revenue optimization, collaborating with leadership on growth strategies.