Jobs at LeanData

The People & Talent Specialist manages end-to-end recruitment and people operations, coordinating interviews, onboarding, and employee support while maintaining HR systems.

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

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.

The Enterprise Account Executive will lead the full sales cycle across EMEA, build relationships with enterprise customers, and achieve revenue targets while shaping LeanData's sales strategy in the region.

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.

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.

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.

The Enterprise Customer Success Manager will lead strategic initiatives for high-value enterprise customers, ensuring success, driving revenue growth, and maintaining strong relationships while coordinating resources across the organization.

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

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.