Manager, Engineering - Sales Planning

Company shown to members 🔒 · Remote · US, Canada only

US, Canada only8+ years required$160K–252K/yrPublished 5 September 2025Ghost risk: high

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First recorded by Psst: 9 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
8+ years required
Where you can live
US, Canada only
Skills and tools
financial modeling, figma, quota, saas, compliance
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States, Canada
Employment type
Full-time
Advertised pay
$160K–252K/yr
Experience
8+ years required
Employer publication date
5 September 2025
First recorded by Psst
9 November 2026
Last checked at the source
10 November 2026

About the job

The company is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures,  we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.

About the Role

Behind every great software company is the team building it. We are an engineering team of multicultural, highly collaborative, fully distributed, humble learners. We pride ourselves on building best-in-class products powered by innovative technologies.

As the Engineering Manager for Sales Planning, you will lead the team responsible for a recently launched product that helps sales organizations plan quotas, territories and sales team capacity with accuracy, auditability, and scale. At a high level the product provides a user experience that feels like an super advanced spreadsheet, with the added benefit of structured objects and a data layer behind it for very large datasets, high performance and audit/compliance.

You will partner closely with Product, Design, and platform teams in an API-, platform-, and AI-first environment. This role is a strong fit if you enjoy working at the intersection of product strategy, architecture, and are excited by building deeply powerful but approachable tools for expert users with complex workflows, including thoughtful AI-enabled functionality that helps users move faster and make better decisions.

Responsibilities

  • Lead and grow a distributed engineering team with a strong culture of trust, accountability, and high-quality execution.
  • Partner with Product and Design to shape roadmap, scope, and product strategy for Sales Planning.
  • Drive delivery of customer-facing capabilities across quota planning, territory design, and capacity planning, balancing speed, usability, reliability, and scale.
  • Coach engineers across levels, from junior through staff, and create opportunities for technical leadership and growth across the team.
  • Set technical direction and architectural guardrails, working with engineers and partner teams to make sound long-term tradeoffs.
  • Improve team execution through better planning, operating rhythms, dependency management, and measurement of outcomes.

Requirements

  • 8+ years of software development experience as an engineer and/or engineering manager.
  • 2+ years of engineering management experience, including people management, roadmap planning, and cross-functional execution.
  • Experience building and scaling early-stage or newly launched products.
  • Strong product judgment and the ability to work closely with Product and Design on ambiguous, high-impact problems.
  • Track record of leading teams that ship reliable customer-facing systems.
  • Strong written and interpersonal communication skills.
  • Comfort operating in startup environments with evolving requirements and significant ownership.
  • Bias toward measuring impact and using data to inform decisions.

Bonus points

•

Technical: Experience with Django

•

Monolith Codebases: You’ve supported and scaled an engineering team using a monolithic code base.

•

Experience working for SaaS companies

•

Experience with financial modeling products/ spreadsheets

•

Experience building AI-enabled features or products

Notice to Prospective Candidates

  • Only emails from [link for members] should be trusted.
  • We are aware of active recruitment scams using the company name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:
  • Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in [link for members], [link for members], [link for members], etc.
  • Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
  • Ask candidates to cash checks to buy equipment on behalf of the company.
  • Ask candidates to make a payment in order to be considered for a position.
  • Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
  • Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made.
  • Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.

The company participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States

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Ghost Job Detector: Ghost risk: high
  • Open over a year (431 days)
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