Director, Product Operations
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 1d 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 12d ago
The date the source published, not the day we noticed it (2026-10-21). Last seen at its source 2h ago.
We have tracked this listing since 21 Oct 2026 (11 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
United States (Remote)
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 not stated
Similar roles pay $193.8k–268.8k/yr
Middle 50% of 123 listings that do state pay — Product · Head · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 11d ago · last seen 2h ago
The listing
The Director, Product Operations builds and runs the operating system for Lone Wolf's Product organization — the process, tooling, data, and communication that enable our Product leaders to focus on customer experiences and outcomes. This role reports to the SVP, Product & Strategy and partners with the leaders of our product lines, Engineering, Product Marketing, Operations, Sales, and Customer Success.
This is a hands-on leadership role: the Director will do the work from day one and build the function over time. They will modernize how Product works — including leading AI adoption across the team — and become the company's trusted source of product data and insight.
Role and Responsibilities:
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Define and improve Product's part of the SDLC — discovery, PRDs, prioritization, and acceptance — and partner with Engineering on clean handoffs, shared definitions, and visibility into capacity and delivery.
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Lead internal AI adoption across the Product team, rolling out AI-enabled workflows for research, requirements, analysis, and reporting, and measuring the productivity gains.
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Facilitate the Product operating rhythm, including planning cycles, goals, and the data and materials behind monthly Product Line Reviews.
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Partner with Product Marketing on go-to-market readiness — launch plans, release notes, and roadmap communication — so Sales and Customer Success are never surprised.
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Partner with Operations to give the Enablement team the product knowledge, release information, and content the field needs.
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Partner with all customer-facing teams to make sure feedback from customers, support, sales calls, and Deal Desk reaches the right Product leaders and informs prioritization.
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Own product analytics — usage, adoption, retention, and product health — and deliver analysis and reporting on our products for other departments.
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Own the Product tool stack, data hygiene, and playbook, automating manual reporting and keeping PMs across product lines working consistently.
The Director owns Product's portion of the software development lifecycle, from discovery and requirements through launch readiness, and partners with Engineering to keep handoffs, capacity, and delivery visible. They run the cadence behind planning and our monthly Product Line Reviews, own the product team's tools and analytics, and make sure product signals flow cleanly between Product and the rest of the business.
What you will own:
Requirements:
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8+ years in product operations, product management, technical program management, or product-focused consulting in B2B SaaS, including 3+ years at a senior or director level.
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Experience building or rebuilding a product operations function in a growing SaaS business — and examples of what you built.
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Fluency with AI tools and the ability to design, instrument, and improve workflows that use them.
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Strong data skills: defining SaaS product metrics, building dashboards, and turning analysis into recommendations.
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Experience with tools like Jira, Lovable, Anthropic, OpenAI, Gainsight, Salesforce, and Gong.
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Vertical SaaS, PE-backed, or multi-product portfolio experience is a plus.