Jobs at Productboard

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.

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.

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.

Plan, build, and optimize SEO, AEO/GEO, PPC, paid media, CRO, and AI-powered marketing workflows. Analyze performance, manage budgets and vendors, create campaign and ad copy, report insights, document processes, and coordinate digital projects with marketing, analytics, design, and web engineering stakeholders. The role requires hands-on execution in B2B technology marketing and ownership of acquisition, retention, and expansion outcomes.

Own and optimize the marketing and revenue technology stack, including marketing automation, CRM integrations, data schemas, lead processing, campaign operations, segmentation, and attribution. Build scalable GTM workflows and integrations, support AI-enabled marketing processes, and execute campaigns involving audience segmentation, asset management, email builds, A/B testing, and deployment. Collaborate cross-functionally with marketing and revenue stakeholders.

Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.

Build and modernize Productboard’s frontend platform, migrating its legacy design system to Spark UI. Design AI-ready module boundaries, API contracts, documentation, and agent workflows involving tool use and autonomous execution. Develop high-performance React applications, validate experiments with users, collaborate with product and design teams, own features through production, mentor engineers, and share engineering knowledge across the organization.

Lead Developer Experience engineering and AI-native architecture initiatives. Build Kotlin services, Go internal tooling, developer platforms, CI/CD improvements, observability, reliability guardrails, and self-service workflows. Establish AI-ready codebase standards, context infrastructure, agent workflows, and AI code-review optimization. Partner across teams, define and measure developer-experience metrics, validate solutions with users, and promote product-minded engineering practices.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

As a Senior Backend Product Engineer, you will develop backend systems, enhance user experiences, collaborate with cross-functional teams, and ensure AI integration in product development.

The role involves building AI-ready web applications, collaborating with product managers and designers, and improving workflows based on user feedback.