AI-Powered GTM Engineer

Productboard, Inc.; San Francisco (CA); Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

Stock options

401k matching

Flexible PTO

Commuter Benefits

Volunteer Day

Fertility Benefits

Snacks and catered lunches

Gym/wellness benefits

Hybrid work schedule

Job summary

Productboard in San Francisco is seeking a GTM Engineer to own and evolve the GTM tech stack with a builder’s mindset, learning and deploying new technologies and AI-enabled platforms. You’ll shape architectures and workflows that make AI agents reliable and productive, supporting GTM across marketing, sales, and post-sales.

The role emphasizes agent-native design, multi-model orchestration, and eval-driven development in a hybrid environment.

Qualifications

• 3+ years of experience within a GTM Team.
• Experience with GTM automations and agents that drive pipeline, revenue, data quality, or operational efficiency.
• Understanding of B2B marketing and go-to-market motions; familiarity with CRM and marketing automation platforms.

Responsibilities

• Build or buy GTM technology solutions for the GTM organization across marketing, sales, and post-sales.
• Conceive and deploy agents and automations for GTM motions (outbound, inbound, lifecycle marketing, customer engagement, surveys, ABX).
• Educate and enable the GTM team on new technologies and agents.
• Organize system integrations and data hygiene for clean inputs to LLMs.
• Support end-to-end campaign execution (list uploads, audience segmentation, asset management, emails, A/B tests, evals, deployment).

Skills

GTM automation

Python

SQL

REST

AWS

CRM platforms

AI tools

Communication

Project management

B2B marketing

Education

Bachelor's degree in STEM

Tools

Salesforce

Marketo

Hubspot

Job description

Productboard in San Francisco is seeking a GTM Engineer to own and evolve the GTM tech stack with a builder’s mindset, learning and deploying new technologies and AI-enabled platforms. You’ll shape architectures and workflows that make AI agents reliable and productive, supporting GTM across marketing, sales, and post-sales.

The role emphasizes agent-native design, multi-model orchestration, and eval-driven development in a hybrid environment.