Manager, Engineering - Sales Planning
Posted 374 days ago, which is unusual. The employer's own board was still carrying it when we last read it, just now.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 374d ago
The date the source published, not the day we noticed it (2025-09-05). Last seen at its source just now.
Is it remote?
Remote USA
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$160.4k–252.5k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 37d ago · last seen just now
The listing
CaptivateIQ 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