Skip to content

Open nowPosted 16 hours ago

Marketing Engineer

Pace28 open roles

Where
New York City
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowMarketing EngineerPace · New York City
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Pace's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Pace postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted 16 hours ago

Pace median: 4 days open

The posting

Company

Pace is the AI operations partner for the world's leading insurers. We combine the speed of AI agents with expert review by our insurance operations team to automate insurance tasks. Almost $400bn per year is spent on outsourcing in financial services every year. We're here to change that, working side-by-side with some of the largest companies in the world.

Role

We're looking for a Marketing Engineer to build new ways for Pace to create pipeline. You'll work across paid acquisition, AEO and SEO, GTM engineering, direct mail, website experiments, and lightweight marketing operations. You’ll identify promising experiments to run, and rapidly test and iterate them.

What this looks like in practice:

- Build new pipeline motions: Launch and test programs across paid, AEO and SEO, outbound, direct mail, account-based campaigns, and other emerging channels.

- Engineer the GTM workflow: Use tools like Clay, or build your own tools with Claude Code, Codex, Cursor, and APIs, to automate research, segmentation, enrichment, personalization, routing, and follow-up.

- Turn the website into a growth surface: Partner with brand, product marketing, and engineering to build landing pages, conversion paths, interactive tools, and experiments that generate qualified demand.

- Find leverage in data: Connect signals across our GTM stack, identify high-intent accounts, and give sales better context on who to contact, why now, and with what message.

- Run disciplined experiments: Write clear hypotheses, ship quickly, define success upfront, and use results to decide what to scale, change, or stop.

- Create reusable infrastructure: Turn successful experiments into durable playbooks, automations, and tools the broader GTM team can operate.

You're a great fit if you:

- Have taken at least one growth motion from zero to one and can explain what you tried, what failed, what worked, and how it affected the business.

- Have hands-on experience across some combination of paid growth, organic acquisition, SEO or AEO, lifecycle, ABM, GTM engineering, or marketing operations.

- Are technically curious and comfortable working with modern GTM tools, APIs, data, and AI-assisted development. You don't need to be a software engineer, but you should be technically-curious.

- Understand that enterprise growth is about quality, timing, and account context, not optimizing for lead volume.

Bonus:

- Experience driving growth for enterprise software, AI, fintech, insurance, or another product with a complex sales cycle.

- Comfort with tools like Clay, Cursor, Claude Code, and / or Codex.

Team characteristics

The Pace team has a couple of defining characteristics:

1. Integrity: The most important thing is working with good people who want to have a massive impact on the world. Our team genuinely wants to do the best work of their careers and know it’ll take 5-10 years of focus to deliver.

2. Ambition: The ambition for this company is not just a good vertical AI business but a $100bn+ outcome across vertical services. We’re looking for people that rise that level of ambition. Often times this means they want to be the best at what they do, become leaders at scale or one day start their own company. Pace will be the best place to learn, deliver impact and advance your path to do something great.

At Pace, we're building a talent-dense team where teammates grow into leaders. This might mean growing into a world-class IC, owning a line of business, or leading teams. Whichever your path, we want to support you to grow at Pace and beyond for the long-term.

We're a <40 person team based in-person across New York and London and are lucky to be perfectly positioned with leading customers and top investors to make a real impact on one of the largest industries in the world.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Pace's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Pace's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Pace's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.