Jobber

Product Manager, Sales Engineering

Jobber

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $118,500 - $160,300 per year

Job Level

Mid-LevelSenior

Tech Stack

Go

About the role

  • Remote-first role that can be held in Canada or the United States
  • Jobber exists to help small home service businesses be successful by enabling quoting, scheduling, invoicing, and payments
  • The Sales Engineering team builds scalable internal products that reduce manual work, surface actionable insights, and enable GTM teams
  • Role reports to Director, Product Management and owns key product areas within Jobber’s internal GTM platform
  • Lead end-to-end product development for AI-powered sales automation, including lead enrichment and qualification
  • Own product discovery and delivery from strategy to execution, aligning engineering, design, data, and sales
  • Define and execute roadmap to improve sales performance and balance short-term wins with long-term innovation
  • Monitor and report on performance of initiatives to senior leadership
  • Collaborate with Sales and Revenue Operations to prioritize strategies for improving sales effectiveness with AI-powered applications

Requirements

  • Product management experience, ideally in a SaaS or a technology-driven company
  • Proven success delivering products that balance short-term impact with long-term platform scalability, especially in fast-paced environments with shifting GTM needs
  • Comfort translating between technical and non-technical stakeholders, helping GTM teams understand AI capabilities while guiding engineers with business context and user feedback
  • Strong grasp of B2B SaaS sales dynamics
  • Ability to independently drive initiatives, manage multiple priorities, and operate with a high degree of autonomy
  • Strong leadership and decision-making abilities
  • Exceptional communication, strategic thinking, and execution skills
  • Highly desired: Familiarity with CRM systems (e.g., Salesforce, HubSpot) and how data flows between internal systems
  • Highly desired: Experience building LLM-powered products
  • Highly desired: Knowledge of Retrieval Augmented Generation (RAG), context tuning, and AI evaluations