About ScaleProductOps
The operator’s handbook for Product Ops.
What we do
ScaleProductOps is a working resource for Product Operations teams — tools, templates, salary data, a glossary, and benchmarks for scaling the function.
We focus on product-operations tools, templates, and benchmarks. Every page on scaleproductops.com is built from BLS OEWS salary data plus original benchmarks and editorial research, cited and linkable so readers can trace any number back to its source.
Who runs this
ScaleProductOps is built and maintained by the ScaleProductOps Team. We're a small group working on making public product-operations tools, templates, and benchmarks data easier for non-specialists to read. If you have a correction, a data tip, or a question about how a number was derived, the contact email below reaches us directly.
Who this is for
ScaleProductOps is built for Product Ops managers, heads of Product, and PMs moving into Product Ops.
Why this exists
Public data on product-operations tools, templates, and benchmarks is technically free, but practically locked behind file formats, acronyms, and paywalled dashboards. ScaleProductOpsexists to close that gap: take the raw federal and public-sector data, and turn it into pages a normal person can read in thirty seconds.
How we work
- Primary source only. We pull from BLS OEWS salary data plus original benchmarks and editorial research and cite the exact dataset and version on every page.
- No invented numbers. If a figure is not in the underlying public data, it does not appear on scaleproductops.com. We never generate synthetic statistics to fill gaps.
- Methodology, in plain English. Salary pages use BLS OEWS data pulled by occupation code and metro. Everything else on the site — templates, benchmarks, glossary, and operator guides — is original editorial material written by Product Ops practitioners, with sources cited inline whenever external data is referenced.
- Refreshed on a schedule. BLS salary sections refresh twice a year with each OEWS release; editorial pages are reviewed on a quarterly cycle as our operator survey and benchmarks change.
- Corrections welcome. Readers flag issues all the time. When the source fixes a record, ScaleProductOps follows.
Known limitations
OEWS does not break out Product Operations as its own SOC code — we map it to the closest combination of Management Analysts and Operations Research occupations, which approximates but does not perfectly match the role. Benchmark data is sourced from an operator survey and is indicative, not statistically representative.
Why Product Operations needs its own resource
Product Operations is a relatively young function. The first Product Ops job postings appeared around 2015 inside large software companies; the role hit critical mass between 2019 and 2022 as product organizations grew past the size where a single PM could effectively coordinate the surrounding work. Today, most product-led companies above a few hundred people have either a Head of Product Ops or a dedicated Product Ops team, and the function has its own career ladder, its own conferences, and its own salary band — but the public resource base is still thin compared to product management or engineering.
ScaleProductOps exists to close that gap. The site is organized around the four work surfaces that consistently show up in Product Ops job descriptions: tooling and operational rituals (sprint cadence, planning, retros), data and insights (analytics infrastructure, voice-of-customer programs), program and process (launches, lifecycle reviews, internal communication), and people and onboarding (career ladder, PM enablement). Each surface gets a set of templates, a salary benchmark, a glossary of vocabulary, and operator-written guides describing what works at different organizational sizes.
The distinction we hold to is that everything published reflects what operators actually do, not what a consultant says they should do. The templates ship as Google Sheets and Notion docs that have been used in real organizations. The guides are written by practitioners and include the failure modes alongside the success patterns.
How the salary benchmarks are built
Product Operations does not have its own Standard Occupational Classification (SOC) code in the BLS OEWS dataset. Government wage data classifies the role under a combination of Management Analysts (13-1111), Operations Research Analysts (15-2031), and General and Operations Managers (11-1021) depending on the specific seniority and responsibilities of a given posting. ScaleProductOps salary pages explain this mapping explicitly on each title page, so readers know which government data is informing the band and which is industry-specific data we have collected separately.
The combined wage band shown on each title page draws on three sources: the BLS OEWS detail for the relevant SOC mix at the metro level, an annual operator survey we field across Product Ops practitioners (under 200 respondents in the most recent wave), and public salary data from LinkedIn, Levels.fyi, and aggregated company-disclosure data where available. Each source is cited inline on the page so readers can audit the band rather than take it on faith.
We surface the source-specific bands separately, not just a blended average. Government data, operator-survey data, and tech-company-specific data each tell a slightly different story, and a reader benefits from seeing the disagreement. A senior Product Ops role in San Francisco shows up at meaningfully different bands in OEWS than on Levels.fyi, and the gap is the story — total compensation at large public tech companies routinely doubles base salary, which OEWS does not capture.
How to use the operator templates
Every template on ScaleProductOps is built around a specific operating cadence and a specific organizational size. A retrospective template designed for a 12-person product organization will be wrong-shaped for a 250-person product organization, and vice versa. The template pages call out the assumed size and cadence at the top so readers can adapt or substitute rather than force-fit a template into the wrong context.
The templates are designed to be modified, not adopted unchanged. A first-pass adoption of a sprint-planning template should typically replace half the rituals and add another quarter that are specific to the team using it. The published version is a starting point and a vocabulary, not a finished system. The associated guide for each template walks through which sections are core (do not remove), which are common (modify), and which are example-only (replace).
The other thing the guides do is explicitly call out the failure modes. A planning template that works well in steady state will often break during a re-organization or a launch crunch; the guide describes what to swap in for those weeks. A voice-of-customer template that surfaces signal weekly may need to drop to monthly cadence in a low-volume B2B context. These are the kinds of operator lessons that are hard to find in a static template library, and the guides are where the function’s accumulated craft lives.
Independence
ScaleProductOps is an independent publication. We are not funded, owned, or directed by any of the agencies, companies, or organizations that appear in our data. Hosting is paid for by advertising — see our Privacy Policy for details — and we do not take paid placements, sponsored rankings, or "remove-my-entry" fees.
History
ScaleProductOps launched in 2026 as part of a small portfolio of independent public-data sites. It has been maintained and updated continuously since.
Contact
Tips, corrections, data-partnership questions, and press inquiries: hello@scaleproductops.com. More options on our contact page.