Productboard

HQ
San Francisco
Total Offices: 5
246 Total Employees
112 Product + Tech Employees
Year Founded: 2014

Productboard Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers company equity

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers mental health benefits

Offers generous parental leave

Provides fertility benefits

Career Growth + Development

Provides customized development tracks

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Offers paid volunteer time

Provides paid sick days

Offers gym membership

Company Culture

Offers a remote work program

Provides free snacks and drinks

Recently posted jobs

13 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Productivity • Software • Analytics
Manage a portfolio of B2B SaaS accounts through activation, adoption, and renewal support. Guide product and engineering leaders in using Productboard Spark for AI-first product management, configure AI context, coach prompt usage, deliver activation sprints, monitor adoption metrics, and identify expansion signals. Partner with account executives and renewal managers, document customer insights, improve playbooks, and provide product feedback. The role requires customer-facing technical advisory skills, product management knowledge, and professional AI experience.
14 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Productivity • Software • Analytics
Plans, executes, and optimizes SEO, AEO/GEO, PPC, paid media, CRO, and AI-powered marketing workflows. Analyzes campaign performance, manages budgets and vendors, creates ad and campaign copy, documents processes, and reports insights. Collaborates with demand generation, analytics, content, design, web engineering, and product marketing teams to drive acquisition, retention, and expansion for Productboard Spark.
14 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Information Technology • Productivity • Software • Analytics
Build AI-native data engineering agents, multi-agent workflows, semantic layers, evaluation frameworks, monitoring, and reliable data pipelines. Develop dbt and Snowflake models supporting revenue, marketing, and product analytics while improving data quality, testing, documentation, and deployment practices. Collaborate with Analytics, BizOps, Product, and Engineering teams to deliver self-service AI-enabled analytics.