Post-Sales Engineer
Resume Metrics

The Numbers Recruiters Look For

The Post-Sales Engineer resume metrics that earn a read: which numbers to use, what good looks like, and where to find each one. Built from 12 years of recruiting, including many years at Google.

Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

Authored by

Emmanuel Gendre

Tech Resume Writer

Last updated: June 4th, 2026 · ~10 min read

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Ex-Google Recruiter
Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

From the author

Emmanuel Gendre, ex-Google recruiter

A recruiter's opinion on post-sales engineer resume metrics

Every guide circles one rule: numbers behind the work. A post-sales engineer can hardly avoid them, since the whole job is getting customers implemented, kept running, and renewed, yet most PSE resumes just name a stack and end there.

So which of these really earn their place on a post-sales-engineer resume? What system records each? And can one of them tip a hiring manager?

In my years recruiting, a good number at Google, the post-sales engineers who won a spot made the customer's success concrete: not “supported enterprise accounts” but “cut onboarding from 10 weeks to 4 and held 99.95% uptime.” That sort of line clears the first read, because claiming you supported accounts is easy, proving customers ran well is not.

Telling the figures that count from the padding, then phrasing each so it lands with a recruiter, is a good part of my resume writing service. What follows is every number worth including on a post-sales-engineer resume, each one with the reason to reach for it, the tool that holds it, and the trick to phrasing it in one line.

Not sure yours is ready? Send it over; I'll check every line, my treat.

Start here

Why metrics matter on a Post-Sales Engineer resume

The whole way recruiters read a page sits in how recruiters screen resumes; briefly, it happens across a few rounds. The recruiter opens, an opening glance at your profile summary and whatever roles follow. After that a support or delivery lead, or the hiring manager, works through the detail, judging whether customers actually run smoothly once they are yours.

That routes your numbers to two people: first the recruiter, then a lead who at once places what a one-day resolution time or a 99.95% uptime figure really cost.

To the recruiter the figure hardly registers; keyword hits are the aim. The lead who'd bring you on reads “cut onboarding from 10 weeks to 4” and instantly grasps the effort. That is the point behind a real number: it proves you keep customers running, not just answer the phone.

And their weight is far from even, either. When your numbers seem light, no reason to sweat: for a post-sales engineer, a single solid uptime or retention figure already carries more than a page of tool names.

The rough pull of each part:

The logic

Which types of metrics to use
for a Post-Sales Engineer resume

Whoever puts in time on the Job Search Toolkit knows I start from a role profile every time. Quick reminder: a role profile is the capabilities a role is built around.

Recruiters mark you against it. My post-sales engineer resume guide makes plain what to include block by block.

Every piece of the post-sales-engineer profile has its spot on the page, weighted heavily toward the latest role, the number riding right beside it.

Rolled together, those are the metric types. Six define a post-sales engineer, one covering each part of the job. Set:

The full list

The full list of Post-Sales Engineer resume metrics

Six clusters; the five a hiring manager rates first sit under each one, top to bottom. Per card: what it measures, its average, good, and great bands, the place it lives, and one line to adapt. Most is right there: your ticketing system, the customer's environment, your project tracker, and the CRM. The Post-Sales Engineer resume skills page lists the rest.

1

Implementation & Onboarding

A Post-Sales Engineer is judged first on what they stand up for the customer. These size the implementation work.

Implementations delivered

Customer implementations you led.

Benchmark

Averagea few
Gooddozens
Greatmany

Measure with

Jira Confluence

Example bullet

Delivered 15 enterprise implementations in a year.

Onboarding time

Kickoff to live.

Benchmark

Averageweeks
Gooddays
Greatfast

Measure with

Confluence Salesforce

Example bullet

Cut onboarding from 10 weeks to 4.

Go-lives on time

Launches that hit the date.

Benchmark

Averagemost
Goodhigh
Greatall

Measure with

Jira Salesforce

Example bullet

Hit the go-live date on every implementation.

Configurations

Setups you tailored.

Benchmark

Averagesome
Goodmany
Greatcomplex

Measure with

Python Confluence

Example bullet

Configured the platform to 30 customer-specific requirements.

Environments stood up

Systems you built out.

Benchmark

Averagea few
Goodseveral
Greatmany

Measure with

Docker Kubernetes

Example bullet

Stood up production and staging in the customer's cloud.

2

Integrations & Customization

A Post-Sales Engineer fits the product to the customer's stack. These track the technical build.

Integrations built

Connections you delivered.

Benchmark

Averagea few
Gooddozens
Greatmany

Measure with

Python Postman

Example bullet

Built 20 integrations into customer systems.

API work

Endpoints and automations.

Benchmark

Averagesome
Goodlots
Greatdeep

Measure with

Postman Python

Example bullet

Wired the API integrations that automated their workflow.

Data migrations

Data you moved in.

Benchmark

Averagesome
Goodlots
Greatan estate

Measure with

SQL Python

Example bullet

Migrated millions of records into the platform.

Customizations

Tailoring you delivered.

Benchmark

Averagesome
Goodmany
Greatcomplex

Measure with

Python Confluence

Example bullet

Delivered custom logic for a regulated customer.

Systems connected

Endpoints you wired.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

Postman Python

Example bullet

Connected the product to 8 downstream systems.

3

Support & Issue Resolution

A Post-Sales Engineer is the technical answer the customer calls. These track the issues you cleared.

Tickets resolved

Issues you closed.

Benchmark

Averagemany
Goodmost
Greatfast

Measure with

Zendesk Jira

Example bullet

Resolved 600 technical tickets a year.

Resolution time

Time to close.

Benchmark

Averagefaster
Goodquick
Greatsame-day

Measure with

Zendesk Jira

Example bullet

Cut median resolution from 4 days to 1.

Escalations owned

Critical issues you took.

Benchmark

Averagesome
Goodmany
Greatfast

Measure with

Jira Slack

Example bullet

Owned every P1 on my accounts.

Root-cause fixes

Problems solved for good.

Benchmark

Averagesome
Goodmany
Greatmost

Measure with

Jira Git

Example bullet

Eliminated the recurring issue behind a third of tickets.

Backlog cut

Queue you cleared.

Benchmark

Averagelower
Goodlow
Greatcleared

Measure with

Jira Zendesk

Example bullet

Cleared a 300-ticket backlog in a quarter.

4

Reliability & Stability

A Post-Sales Engineer keeps the customer's deployment solid. These track how stable you kept it.

Uptime

Availability you held.

Benchmark

Average99%+
Good99.9%+
Great99.99%+

Measure with

Kubernetes Jira

Example bullet

Held 99.95% uptime across customer deployments.

Incidents cut

Outages you reduced.

Benchmark

Averagefewer
Goodrare
Greatnear-zero

Measure with

Jira Slack

Example bullet

Cut customer incidents 60% in a year.

Recurring issues eliminated

Problems you killed for good.

Benchmark

Averagesome
Goodmost
Greatmany

Measure with

Jira Git

Example bullet

Eliminated the top three recurring failures.

SLA attainment

Targets you met.

Benchmark

Averagemost
Goodhigh
Greatall

Measure with

Zendesk Jira

Example bullet

Met every support SLA for two years.

Regressions caught

Bad releases you stopped.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

Git Jira

Example bullet

Caught regressions before they reached the customer.

5

Product Expertise & Enablement

A Post-Sales Engineer is the product expert the account relies on. These size the knowledge you shared.

Training delivered

Sessions you ran.

Benchmark

Averagesome
Goodmany
Greatprograms

Measure with

Confluence Slack

Example bullet

Trained 200 customer users on the platform.

Documentation / KB

Articles you wrote.

Benchmark

Averagea few
Goodseveral
Greata library

Measure with

Confluence Notion

Example bullet

Wrote the KB articles that cut repeat tickets.

Enablement

Teams you brought up to speed.

Benchmark

Averagesome
Goodthe team
Greatthe account

Measure with

Confluence Slack

Example bullet

Enabled the customer's admins to self-serve.

Certifications

Product credentials you hold.

Benchmark

Averagea couple
Goodseveral
Greatexpert

Measure with

Confluence Notion

Example bullet

Earned expert-level product certifications.

Best practices shared

Guidance you drove.

Benchmark

Averagesome
Goodmost
Greatstandard

Measure with

Confluence Notion

Example bullet

Set the best-practice guide the field now uses.

6

Account Health & Retention

A Post-Sales Engineer keeps the technical relationship strong so accounts stay. These carry that impact.

Renewals supported

Renewals your work secured.

Benchmark

Averagemost
Goodhigh
Greatall

Measure with

Salesforce Confluence

Example bullet

Backed renewal on every account I supported.

Account health

Accounts you kept green.

Benchmark

Averagemost
Goodstrong
Greatall

Measure with

Salesforce Tableau

Example bullet

Held green health across my book of accounts.

CSAT / NPS

Satisfaction you drove.

Benchmark

Averagesolid
Goodhigh
Greattop

Measure with

Zendesk Salesforce

Example bullet

Held a 4.8 satisfaction score.

References

Advocates you built.

Benchmark

Averagea few
Goodseveral
Greatmany

Measure with

Salesforce Confluence

Example bullet

Turned 6 accounts into technical references.

Expansion supported

Growth you enabled.

Benchmark

Averagesome
Goodstrong
Greatmajor

Measure with

Salesforce Tableau

Example bullet

Enabled $1M in expansion through technical wins.

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Qualitative metrics

What if I don't have numbers to share?

No number is not no work. Where a figure is missing, the customer you kept running and the trust you earned still stand. Each one here maps a fair way to put it, plus a sample to borrow.

1

Implementation & Onboarding

Implementation owned

When to use it: the rollout had stalled

Example bullet

Owned the implementation that finally got the customer live.

Launch saved

When to use it: the go-live was about to slip

Example bullet

Pulled the launch back on schedule.

Before / after implementation

When to use it: the project was stuck in setup

Example bullet

Drove it until the customer was in production.

2

Integrations & Customization

Integration owned

When to use it: the systems refused to connect

Example bullet

Owned the integration that got the systems talking.

Migration cleared

When to use it: the data refused to come across clean

Example bullet

Untangled the migration blocking the whole project.

Before / after integration

When to use it: nothing was connected

Example bullet

Wired it until the data flowed clean.

3

Support & Issue Resolution

Fire put out

When to use it: the customer hit a hard outage

Example bullet

Put out the outage before it hit the renewal.

Root cause found

When to use it: the same issue kept coming back

Example bullet

Tracked down the root cause nobody could pin down.

Before / after support

When to use it: tickets piled up unanswered

Example bullet

Reworked it until issues got closed fast.

4

Reliability & Stability

Stability owned

When to use it: the customer's system kept falling over

Example bullet

Owned the work that made the deployment rock-solid.

Incident closed

When to use it: outages kept recurring

Example bullet

Killed the fault behind the repeat outages.

Before / after reliability

When to use it: the system was flaky

Example bullet

Hardened it until it ran without drama.

5

Product Expertise & Enablement

Expertise owned

When to use it: no one knew the product deeply on the account

Example bullet

Became the product expert the customer relied on.

Enablement built

When to use it: the customer leaned on us for everything

Example bullet

Built the enablement that let them self-serve.

Before / after expertise

When to use it: the customer barely used the product

Example bullet

Coached it until they used it like experts.

6

Account Health & Retention

Relationship owned

When to use it: the account was ready to churn

Example bullet

Owned the technical side that turned a churn risk into a renewal.

Trust rebuilt

When to use it: a rough deployment had hurt the relationship

Example bullet

Rebuilt the customer's trust after a hard start.

Before / after health

When to use it: the account was slipping

Example bullet

Reworked it until the account was healthy again.

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Frequently asked

Post-Sales Engineer resume metrics FAQ

Talk through it instead. A figure would hit harder, sure, but the customers you kept running and how you managed it still weigh a lot. Name an implementation you delivered, an outage you resolved, or the recurring issue you finally put to bed. Recruiters read those as real post-sales work, and every bit checks out. Each card up top has a sample ready.

A reasonable guess you can back up is fine. You brought resolution times down but the old number was never recorded? "From several days to under one" is honest. Round to a range when the customer's figures stay private. The catch: you can explain the logic aloud.

No. A post-sales interview goes into the accounts, and a bogus figure caves the instant they poke at how you clocked that resolution time or where the uptime figure originated. One faked figure can end the offer. A truthful recap of the work rings true and carries just as far.

Just the standouts. Keep figures to your top handful of bullets, all in the newest role, read soonest. Stamp them all and the genuine wins get lost in the crowd. A lean, provable handful outdoes a wall of numbers.

Whichever reads stronger. A plain count carries itself ("600 tickets a year"); a shift is clearer as a percentage ("incidents down 60%"). Any bare percentage gets cut. Put both side by side where it helps: "resolution time from 4 days to 1."

They do, and a junior has more on hand than they'd guess. An implementation you had a hand in, a nasty ticket you cracked, an integration you wired, a customer you brought live: one gig or an internship is enough to fill it. The famous logo is beside the point, only proof customers did better once you were on the account.

Mostly still on hand. The ticketing system has your resolutions; the customer's setup shows what you built; the project tracker holds the implementations; the CRM links it to renewals. For anything older, a rough estimate, plainly flagged, does the job.

Only one, sitting at the very top. Your single strongest number, the uptime you sustained or your largest implementation, buys the recruiter's first few seconds. The work-experience section holds the rest. The Post-Sales Engineer resume guide covers writing that summary.

Who wrote this

Built by an ex-Google recruiter

Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

Emmanuel Gendre

Former Google recruiter · 12 years · 1,500+ tech resumes rewritten

I screen Post-Sales Engineer resumes the same way I did at Google: against the role profile, against the JD, and against the bar real hiring managers set. The metrics on this page are the ones I tell my own clients to chase.

Read my full story →

More resources

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