Gem

Senior Product Manager, Enterprise Platform

Gem$161K — $285K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in product management within a tech company serving enterprises
  • Strong technical background with engineering depth
  • Proven experience in shipping complex projects independently
  • Decisive product instincts with the ability to make calls
  • Experience bridging technical and market teams
  • Comfortable navigating enterprise customer complexities
  • Platform thinking focused on scalable solutions
  • Understanding of AI, LLMs, and autonomous workflows
  • Ability to maintain focus under pressure
  • Strong ownership mentality.

Responsibilities

  • Drive projects from discovery through launch autonomously
  • Make decisions and own trade-offs without needing consensus
  • Collaborate with engineering on technical challenges
  • Partner with sales and customer success to align on enterprise needs
  • Engage with customers to understand deployment and governance processes

Benefits

  • Comprehensive medical, dental, and vision plans
  • 401(k) retirement plan
  • Flexible hybrid work location
  • Equity and commission opportunities
Full Job Description
IN THIS ROLE, YOU'LL

Your goal is to make it simple for enterprises to adopt, deploy, and trust Retool across their organization - including as AI agents and autonomous workflows become a core part of how they build. That means ensuring our deployment infrastructure is robust and scalable, meeting security, compliance, and governance requirements without slowing down builders, and making sure the platform's controls and infrastructure keep pace as what gets built on Retool grows more powerful.

You'll work across problems like:

  • How do we simplify deploying and managing Retool across different customer environments - and ensure our deployment infrastructure is robust enough to support the compute, scaling, and reliability demands of AI-powered workloads?
  • How should permissions, audit logging, and compliance controls evolve to meet enterprise needs without adding friction for developers?
  • What's the right API and infrastructure-as-code surface (API, Terraform, MCP etc.) for enterprise platform teams to manage Retool at scale?
  • How do we reduce the operational burden on customers adopting Retool - making onboarding and expansion feel seamless?
  • How do we build governance primitives that are flexible enough for diverse org structures but opinionated enough to be useful out of the box?
  • As AI agents and autonomous workflows proliferate, what deployment infrastructure, governance, permissioning, and resource controls do enterprises need to run them reliably and safely at scale?


Day to day, you'll:

  • Drive projects end-to-end - from discovery through launch - without needing hand-holding
  • Make decisions and own tradeoffs rather than seeking broad consensus
  • Work closely with engineering on deeply technical problems (data connectivity, infrastructure, access control systems)
  • Partner with sales and customer success to understand enterprise pain points, while maintaining a strong point of view on what to build vs. what to push back on
  • Spend time directly with customers to understand how they deploy, govern, and scale internal tools


THE SKILLSET YOU'LL BRING

  • 4+ years of product management experience at a technology company, ideally one selling to enterprises
  • Strong technical background - you've been an engineer, or you work at an engineering depth that lets you evaluate architecture decisions and tradeoffs directly
  • Track record of shipping complex, cross-functional projects end-to-end with high independence
  • Decisive product instincts - you form strong opinions, make calls, and course-correct rather than waiting for alignment
  • Experience bridging engineering and go-to-market teams - you can translate customer needs into product priorities and arm sales with what they need
  • Comfortable working directly with enterprise customers and navigating the complexity of their environments
  • Platform thinking - you default to scalable, systematic solutions rather than one-off feature work
  • AI fluency - you understand how AI agents, LLMs, and autonomous workflows behave, what infrastructure and resource demands they introduce, and what constraints (cost, latency, safety, unpredictability) enterprises need to manage to deploy them confidently
  • Ability to maintain focus and a strong point of view under pressure from competing stakeholder requests
  • Strong ownership mindset - you do what's needed to ship the right product, not just what's in scope


For candidates based in the United States, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate's experience and qualifications, and location.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

The base pay range for this role is $161,500 - $285,000 per year.

Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!

Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.

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