---
title: 'Staff Engineer, Agents at LeanData'
canonical: 'https://feeny.ai/job/staff-engineer-agents-leandata-santa-clara-hj6xmgx212vh'
type: 'job'
last_seen: '2026-09-05'
---

# Staff Engineer, Agents at LeanData

- **Company:** LeanData
- **Location:** Santa Clara, CA
- **Compensation:** $160k–$200k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-25
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/leandata/9a371c01-13f4-4a6a-a9ad-91ede7ec54a4/application

**Skills:** Python, TypeScript, Go, LangGraph, Agent SDKs, Tool/function-calling, Structured outputs, RAG, Context/memory management, Concurrency, Distributed systems, Statefulness, Latency optimization, Cost optimization, Salesforce APIs, MCP, A2A, Promptfoo, Braintrust, Langfuse

> Design and ship production multi-agent systems for autonomous go-to-market teams. Own orchestration, tool-integration, memory, and coordination layers while ensuring safe write-backs and robust evaluations at enterprise scale.

## Job description

LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue.

We are looking for a Staff Engineer to design and ship the production multi-agent systems at the core of LeanData’s new platform of autonomous agents for go-to-market teams.

This is a Staff-level individual-contributor role with founding-level ownership. You own the orchestration, tool-integration, memory, and coordination layers that let agents reason over go-to-market data and act reliably at enterprise scale — including the evaluations that prove they work and the path that safely writes their decisions back to a customer’s live data systems.

This role reports to the SVP of Engineering and is based in our Santa Clara, CA office. You are required to be in office Mondays and Wednesdays each week.

## WHAT YOU’LL BE DOING

- 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

## REQUIREMENTS

- 4+ years building production systems, including 2+ years shipping LLM-powered or agentic systems
- You have shipped customer-facing LLM or agent systems that real users depend on, and can explain how they failed and how you fixed them
- Strong, current Python (TypeScript or Go a plus)
- Hands-on with a modern agent framework / orchestration (e.g. LangGraph or agent SDKs), tool/function-calling, structured outputs, retrieval (RAG), and context/memory management
- Strong systems-engineering fundamentals (concurrency, distributed systems, statefulness, latency and cost at scale), plus skill debugging deep, non-deterministic failures in multi-step agent traces
- High agency: you scope, prioritize, and ship without waiting for permission

## BONUS POINTS IF YOU HAVE

- Experience with Salesforce APIs (Bulk 2.0, Composite, Pub/Sub) or another large, messy enterprise data source
- MCP (Model Context Protocol), A2A, or similar tool and agent interoperability standards; the modern eval/observability stack (Promptfoo, Braintrust, Langfuse) and durable execution (Inngest, Temporal)
- Run hundreds or thousands of concurrent agent instances (serverless or function-style runtimes); multi-tenant data isolation (Postgres + RLS) and a strong security posture for holding customer data
- A founder or founding-engineer background, or contributions to open-source agent or LLM tooling

## COMPENSATION

The salary for this role will be between $160,000 and $200,000 base, plus equity.

## About LeanData

## Company Overview
- **One-liner**: LeanData provides an AI-powered Go-to-Market (GTM) orchestration platform that helps B2B companies turn buyer signals into revenue by automating the entire revenue lifecycle.
- **Entity Type**: Private (Growth Stage)
- **Headquarters**: Santa Clara, California, United States
- **Founded**: 2012
- **Founders**: Evan Liang (Co-Founder & Chief Strategy Officer), Kelvin Cheung (Co-Founder & Chief Technology Officer)

## Core Business
- **Primary Industry**: B2B SaaS (Software Development / Go-to-Market Technology)
- **Target Customers**: B2B enterprises and commercial leaders (1,000+ customers), including Sales, Marketing, Customer Success, and Operations teams.
- **Mission/Purpose**: To fuel efficient growth with Intelligent Go-to-Market Orchestration, turning buyer signals into revenue.

## Products & Services
- **LeanData Platform (Intelligent GTM Orchestration)**: A SaaS platform that sits at the intersection of AI agents, human sellers, and CRM systems. It orchestrates the entire revenue lifecycle—from lead acquisition to retention and expansion. Key capabilities include:
    - **Lead-to-Account Matching & Routing**: Automates the assignment of leads to the right sales reps based on complex routing logic.
    - **Pipeline Acceleration**: AI-assisted routing to increase deal velocity (reported 68% increase).
    - **Buying Group Orchestration**: Coordinates actions across multiple stakeholders in a deal.
    - **Post-Sales Automation**: Manages handoffs from sales to customer success, automates renewal workflows, and surfaces churn/upsell signals.
    - **AI Agent Integration**: Treats AI agents as first-class participants in GTM motions, ensuring they trigger deterministic actions.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Annual Revenue of **$14.0M** (as per LinkedIn data). The company is privately held and has raised funding, though the total amount is not specified in the provided search results.
- **Notable Investors/Partners**: Not explicitly listed in the provided search results, but the company has a strong partnership ecosystem (e.g., Salesforce-native workflow automation).
- **Growth Signals**:
    - **Customer Base**: Over 1,000 world-class B2B companies.
    - **Community**: Over 5,000 members in its OpsStars community and 2,300+ LeanData Certified Experts.
    - **Headcount**: 158 employees, with a slight YoY decrease of -0.5%. However, job postings are up 33.3% year-over-year, indicating renewed hiring.
    - **Global Presence**: Operates in 8 countries including India, Ireland, Philippines, Canada, and Singapore.

## Competitive Advantages
- **Category Pioneer**: LeanData pioneered the Lead-to-Account (L2A) matching and routing category, giving it a deep, established moat in the GTM orchestration space.
- **Salesforce-Native**: The platform is deeply integrated with Salesforce, providing a native experience that reduces complexity and accelerates time-to-value for enterprise customers.
- **AI + Deterministic Logic**: Unlike pure AI black-box solutions, LeanData combines AI with transparent, auditable routing logic and governance, making it suitable for complex enterprise compliance needs.
- **Proven ROI**: Customers report significant metrics: 68% increase in deal velocity, 78% reduction in SDR time spent researching leads, 54% increase in lead-to-opportunity conversion, and 35% increase in customer retention.

## Strategic Focus
- **AI GTM Orchestration**: The company is doubling down on AI, positioning itself as the "leading platform for AI GTM Orchestration" that coordinates AI agents, human sellers, and systems.
- **Enterprise Scale**: Focus on handling complex, multi-system GTM environments for large enterprises, with a strong emphasis on data governance and auditability.
- **Global Expansion**: Maintaining offices in Santa Clara (HQ) and Dublin, Ireland, with a growing international workforce across 8 countries.

## Why Work Here
- **Culture & Values**: Emphasizes "Win as a Team," "Act Like an Owner," "Be Humble and Keep Learning," "Seek Diverse Perspectives," and "Customer First." Employee reviews on LinkedIn rate the culture at **4.5/5.0**.
- **Work Environment**: Headquarters in Santa Clara, CA, with an office in Dublin, Ireland. The company supports a global, distributed team across 8 countries.
- **Benefits**:
    - Employee insurance covered up to 90%
    - Stock options for all full-time employees
    - Flexible vacation program
    - $500 annual learning stipend
    - Employee 401K plan
- **Engineering Culture**: Rated highly by employees (4.3/5.0 overall on LinkedIn). The technical team includes roles like Machine Learning Engineer and Senior Site Reliability Engineer, indicating a strong focus on AI and infrastructure.
- **Leadership**: CEO Katy Keim (former CEO of LQ Digital, CMO of Lithium Technologies) leads the company, with a strong executive team including a CFO (Jaya Jaware), CPO (Amar Doshi), and SVP of Engineering (Vivek Ravisankar).

## Sources
1. [leandata.com](https://www.leandata.com/company/)
2. [leandata.com](https://www.leandata.com/)
3. [leandata.com](https://www.leandata.com/company/careers/)
4. [linkedin.com](https://www.linkedin.com/company/leandata)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/leandata?src=levels.fyi)

## Other roles at LeanData

- [Product Designer](https://feeny.ai/job/product-designer-leandata-santa-clara-7gvaz95v7y4g) — Santa Clara, CA
- [Chief of Staff](https://feeny.ai/job/chief-of-staff-leandata-santa-clara-cwpqrfqb4g36) — Santa Clara, CA
- [Senior Engineer, Platform & Data](https://feeny.ai/job/senior-engineer-platform-data-leandata-santa-clara-m2s6505a23yx) — Santa Clara, CA
- [SVP, People](https://feeny.ai/job/svp-people-leandata-santa-clara-7thq7z210jhs) — Santa Clara, CA
- [Senior Full-Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-leandata-santa-clara-t870hdnf6m9p) — Santa Clara, CA
- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-leandata-santa-clara-nngt2506vbpp) — Santa Clara, CA
- [Director, Product & Ecosystem Partnerships](https://feeny.ai/job/director-product-ecosystem-partnerships-leandata-santa-clara-9dq4bhwjtgf7) — Santa Clara, CA
- [Manager, People Operations](https://feeny.ai/job/manager-people-operations-leandata-santa-clara-4ztbk9jvhzc9) — Santa Clara, CA
- [Talent Acquisition Lead](https://feeny.ai/job/talent-acquisition-lead-leandata-santa-clara-ctrzw8rd5ejf) — Santa Clara, CA
- [Director of Product Design](https://feeny.ai/job/director-of-product-design-leandata-santa-clara-x05br157fxf1) — Santa Clara, CA