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Pace

Member of Applied AI Staff, Partner Enablement

New York
Posted about 10 hours ago
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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 our first Partner Enablement hire - someone to own how Pace scales through others. You'll build the function from scratch and grow with it.

Today, Pace drives measurable impact by deploying our agents directly with our largest insurance customers. Your job is to turn that expertise into a repeatable motion that partners (systems integrators, consultancies, brokers, and technology alliances) can run themselves. You'll equip them to deploy Pace's agents, drive adoption, and expand usage across workflows and business units.

You'll sit at the intersection of partnerships, customer operations, product strategy, and growth.

What this looks like in practice:

  • Build the partner enablement engine: Design the onboarding, training, certification, and collateral that make partners self-sufficient at deploying Pace's agents and Pace-obsessed!
  • Codify deployment into a repeatable playbook: Translate what makes a Pace deployment succeed (pain points, success criteria, rollout steps) into clear, executable programs partners can replicate across customers.
  • Drive executive-level value narratives through partners: Equip partners to lead demos, pilots, and business reviews that clearly articulate ROI, operational impact, and expansion opportunities to customer stakeholders.
  • Partner with Product & Engineering: Surface partner and customer feedback, gaps, and edge cases to drive the roadmap and improve the Pace platform.
  • Own partner outcomes: Track adoption, impact, and expansion across the partner ecosystem, and continuously sharpen the enablement motion based on what's working.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

You're a great fit if you:

  • Have high autonomy, a strong bias to action, and a genuine curiosity for understanding customers and partners.
  • Have experience operating at the intersection of partnerships/channel, customers, product, and GTM.
  • Communicate clearly with executives, operators, and technical teams.
  • Are comfortable turning messy, real-world workflows into clear, executable steps and repeatable programs.
  • Have a high-ownership mindset - you're accountable for outcomes, not just deliverables.
  • Bonus: Founder or startup experience, or experience building a channel, partner, or enablement function from zero.

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Team characteristics

The Pace team has a couple of defining characteristics:

  • 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.
  • 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 to that level of ambition. Oftentimes 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 in New York 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.

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Skills

Partner Enablement
Channel Management
GTM Strategy
Product Strategy
Customer Operations
Onboarding
Certification Design
ROI Analysis
Executive Communication
Playbook Development
Cross-functional Collaboration
Strategic Partnerships

Location

New York, New York, United States

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