Sales Operations

About Lorikeet

Lorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.

We’re doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what’s next: providing personalized concierge services to their customers.

To deliver this combination of powerful AI systems and well designed tooling we’re leveraging Jamie’s experience as an early member of Google’s generative AI team and Steve’s experience building for operational teams at Stripe, as well as the experience of our team who’ve joined us from places like Stripe, Canva, Atlassian, Dropbox and Dovetail.

We are growing fast, have paying customers, real revenue, an exciting roadmap and a strong sales pipeline. We’ve raised over USD 50m from leading VCs and angel investors, including QED, Blackbird, Square Peg, Claire Hughes Johnson (ex Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).

Our global customers include:

• The largest telehealth company in Australia,

• The largest bank for teens in the US,

• One of the largest NFT marketplaces by trading volume,

• The leading virtual specialty-care platform in the US,

• One of the largest flexible rent-payment platforms in the US,

• One of the largest Web3 gaming companies

… and a handful of other enterprise customers with over 1 million support tickets a year.

What’s unique about this opportunity?

• Warm, mature, flexible culture. Low ego, high trust team. No tolerance for ‘talented jerks’. We embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We’re committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out - we value user obsession and eagerness to learn over traditional credentials.

• High pay, high expectations, high performance. We aim to match unicorn / scale up pay at base salary and offer a potentially life-changing equity stake in the business. Our team gets the same monthly updates we send to our investors because they’re investors and owners too.

• No nonsense recruitment process. The process is: 1) informal chats with Steve and Remy to hear our pitch and understand your interests and goals, 2) a ~two day paid work trial where you come in and ship with us. There’s no better way for each of us to figure out if we like working together than to work together!

About the role and you

Lorikeet is looking for its first sales operations hire! This is an opportunity to help build and scale the operational backbone of our sales team. You’ll work across systems and processes to ensure our account executives have what they need to do their best work. That means building tools and collateral, managing the CRM, supporting training, and owning the workflows that keep everything moving.

You’ll work closely with sales and leadership in the guts of how deals get done—helping us improve forecasting, track commissions, manage territories, and make smarter decisions as we grow.

What you’ll do

• Own and manage our sales CRM (currently Hubspot), ensuring clean data, smooth workflows, and reliable reporting

• Build and maintain sales materials and collateral (e.g. pitch decks, ROI calculators, proposal templates)

• Design and manage sales enablement programs, including onboarding, training, and tooling

• Own and refine our sales process—identifying friction and shipping improvements

• Support territory planning, quota setting, and commission tracking

• Partner with finance and leadership on pipeline reviews, forecasting, and revenue reporting

• Evaluate, implement, and manage our sales tech stack
  

The right candidate

We're looking for a mid level to senior candidate – someone who can operate independently, has experience building durable systems in a fast-paced environment and implementing data-driven, strategic decisions quickly. The ideal candidate has previously owned sales ops at a start up or scale-up, managed sales forecasting at a leadership level, and has built or rebuilt enablement programs or compensation models from scratch.

You might be a fit if you:

• Have 5-8+ years of experience in sales ops, revenue ops, or GTM operations in a SaaS or B2B start up environment

• Have managed Hubspot or similar CRMs and understand how to structure systems for scaling teams

• Have supported a growing sales team through onboarding, training, and enablement

• Have experience with forecasting, pipeline reviews, and revenue reporting

• Are comfortable with contract workflows, commissions, and global territory design

• Communicate clearly, think in systems, and enjoy making messy processes clean and usable

• Are excited by the chance to help build a category-defining AI company
  

Applicants must be based in the United States and eligible to work in the US without sponsorship (remote work supported).

If you don't quite match this and are from an under-represented background we strongly encourage you to reach out. We know first hand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences.

Lorikeet uses Automated Employment Decision Tools (AEDT) to assist in the candidate screening process. These systems help us efficiently review a high volume of applications by analyzing qualifications, skills, and experience against the requirements of the job description.

The use of AI is intended to enhance, not replace, human judgment. Final hiring decisions are made by human recruiters and hiring managers who review all relevant information, including AI-generated assessments, to ensure a fair and comprehensive evaluation.

Our AI systems are regularly audited and monitored to prevent and mitigate bias. We are committed to ensuring that our technology-assisted processes comply with all federal, state, and local anti-discrimination laws.

If you require a reasonable accommodation to participate in our application process, please contact us at: [email protected]