Enterprise Inside Sales Representative in Lehi, Utah at Pattern
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Job Description
As an Enterprise Inside Sales Representative (ISR) on our Enterprise Sales team, you'll partner directly with Named Account Managers (GNAMs) to run point on our highest-priority ("Conviction") accounts — staying Knowledgeable, Helpful, and Present (KHP) with every account in your name. This is a data-driven, AI-forward role: you'll use Claude daily to research accounts, keep your CRM hygiene audit-ready, and craft outreach that actually lands. This is a full-time role based in Lehi, Utah, supporting sales activity across the US, APAC, and EMEA.
Own KHP on every account in your name. KHP (Knowledgeable, Helpful, Present) is the core discipline of this role — not a monthly box to check, but how you run your book every day. Make sure all communication is meaningful and impactful.
Execute deal strategy and close business. Work closely with your named account manager to divide and conquer to maximize booking output.
Use Claude as your daily working tool, not a side project. Pattern's sales org already runs account research, KHP hygiene audits, and reporting through Claude — you're expected to use it the same way: to research prospect accounts and buyer intelligence, draft and personalize outreach at scale, and self-check your own CRM hygiene before it's ever flagged in a report.
Qualify prospect accounts in partnership with GNAMs, and be the first to identify and engage primary points of contact — being first matters, since KHP and opportunity credit follow whoever actually did the work of building the relationship.
Research ecommerce categories and identify high-growth brands/products to trade on US marketplace platforms.
Research relevant stakeholders and identify value propositions specific to each account.
Network via LinkedIn and offline to build relationships and organize meetings.
Set appointments with enterprise accounts and keep Salesforce reflective of what actually happened on the account (contacts, notes, next steps) — the data has to be trustworthy, because it drives your own comp and the team's reporting.
Craft value-driven messages specific to each account's current pain points and needs.
Work closely with GNAMs on account plans and targets, and flag account ownership changes promptly so credit and reporting stay accurate.
Inbound and outbound outreach with compelling messages through phone and email.
Bachelor's degree in Business or related field.
Track record of hitting quota.
Experience in phone sales and qualifying leads.
Excellent written and communication skills.
Creative thinker and problem solver.
Highly organized and disciplined — this role is graded monthly on a data-driven KHP scorecard that's tied to compensation, so meticulous CRM hygiene isn't optional.
Genuine comfort using AI tools (specifically Claude) as part of your daily workflow — for research, prospecting, and keeping your own account data audit-ready. We're looking for people who want to be on the cutting edge here, not people who tolerate AI as an add-on.
Proficiency with Microsoft Office software including Word, Excel, and PowerPoint.
Experience with Salesforce CRM.
Prior experience using Claude or another AI copilot inside a sales workflow (account research, outreach drafting, pipeline hygiene).
Previous exposure to Marketplaces, specifically (but not limited to) Amazon.
International experience.
Experience with LinkedIn Sales Navigator and Outreach.
Proficiency in additional languages is a bonus.
You will work alongside the US sales team and report to the Director of Sales. This team is data-driven and results-oriented — your KHP score, account hygiene, and pipeline contribution are visible, monthly, and tied to how the team measures and pays you. You'll collaborate regularly with your teammates and work across departments with senior-level colleagues to implement actionable solutions.
Deliver your bookings number in partnership with your named account manager and the ecosystem.
You follow through with all assignments in a timely manner.
Your KHP score is consistently at or above target — stakeholders current, notes current, strategy fields filled in, every month, without needing to be chased.
You use Claude and Pattern's AI tooling to work smarter — automating the research and hygiene grind so you spend more real time with buyers, not less.
- Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
- Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
- Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
- Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
- An initial phone interview with Pattern’s talent acquisition team.
- A video interview with a sales leader.
- A video interview with a sales leader.
- An onsite interview with a panel of sales leaders.
- Reference checks.
- Executive review.
- Be prepared to talk about professional accomplishments with specific data to quantify examples
- Be ready to talk about how you can add value and be the best addition to the team
- Focus on mentioning how you would make a difference at Pattern
- Be prepared to talk about any side projects related to data and analytics