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’re well funded by leading VCs and angel investors, including 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’re building a small, great team. We aim to match unicorn / scale up pay at base salary and offer a potentially life-changing equity stake in the business. Our team get the same monthly updates we send to our investors because they’re investors and owners too.

• On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.

• No nonsense recruitment process. The process is: 1) informal chats with Steve, Remy, and JJ 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

We are looking for a seasoned team lead for our growing team of Forward Deployed AI Engineers, who specialises in getting Lorikeet trained up and deployed for our global customers as fast as possible.

As the Head of Forward Deployed Engineering at Lorikeet, you'll be in charge of the bridge between Lorikeet's technology and our clients' success. You’ll manage the team that serves as our customers’ AI experts, integration experts, and problem solvers, guiding them in forging strong relationships and great outcomes for their customers. You’ll empower the team to break new ground with our customers, ultimately ensuring quick integrations and a growing automation rate among our subscriber base. And finally, you’ll be responsible for accelerating hiring globally for the team, as well as technically ramping up new hires, and developing existing team members.

What you’ll do

• Build and lead a high-performing team of Forward Deployed AI Engineers who serve as trusted technical partners to our subscribers.

• Develop team’s expertise in Lorikeet’s AI platform and ensure they are equipped to confidently lead implementation projects from kickoff through deployment and ramp up.

• Coach the team on how to deeply understand customer workflows and business goals, and configure Lorikeet’s AI tools to drive meaningful outcomes

• Foster a team culture of curiosity and proactive solutioning, empowering team members to recommend AI-driven strategies that extend beyond traditional support use cases

• Ensure tight collaboration with the product team by helping the team capture and communicate customer feedback and insights to influence product direction.

• Support team members in navigating complex technical integrations with creativity, speed, and care.

• Create systems for ongoing skill development, customer empathy, and operational excellence across the solutions function.

• Serve as an advocate and unblocker for the team, ensuring they have the tools, clarity, and autonomy to build strong, trusted relationships with customers.

The right candidate

The ideal candidate has a technical background, maybe as a former engineer, and then learned the business. You have experience scaling solutions engineering or other similar customer-facing technical teams.

Candidly, this role is perfect for someone who is (1) deeply interested in AI, (2) is excited to mentor and develop others (3) is energized by operating at the nexus of the technical implementation of AI and ensuring customer success.

We need someone who is technically-minded and excited to dive into the technical aspects of AI, loves building, learning, and tinkering, and most importantly, is hyper-focused on customer impact. You'll have the opportunity to shape not just individual client implementations, but also our overall approach to customer deployment and success.

You might be a fit if you:

• Previously brought a technical foundation into client-facing roles, evolving from individual contributor to team lead within high-growth, cross-functional environments

• Managed and developed Solutions Engineering teams responsible for implementation, integration, and post-sales technical support across a range of enterprise and startup clients

• Have previous experience leading daily team operations including project oversight, prioritization, unblocker support, and performance coaching

• Served as the connective tissue between Product, Engineering, and Customer teams, ensuring consistent feedback loops and roadmap alignment

• Hired and onboarded technical talent with both traditional (CS/Eng) and nontraditional (no-code, data, operations) backgrounds

• Coached team members to grow in client communication, technical depth, and problem-solving autonomy

• Built and refined internal processes for implementation timelines, stakeholder management, and scaling high-touch support in a startup context

• Have previous experience operating in a data-driven manner; setting, tracking, and reporting progress against key business metrics

• Have actively explored and deployed AI tools to enhance team workflows, solution delivery, and internal enablement

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

• On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.

• 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

We are looking for a seasoned team lead for our growing team of Forward Deployed AI Engineers, who specialises in getting Lorikeet trained up and deployed for our global customers as fast as possible.

As the Head of Forward Deployed Engineering at Lorikeet, you'll be in charge of the bridge between Lorikeet's technology and our clients' success. You’ll manage the team that serves as our customers’ AI experts, integration experts, and problem solvers, guiding them in forging strong relationships and great outcomes for their customers. You’ll empower the team to break new ground with our customers, ultimately ensuring quick integrations and a growing automation rate among our subscriber base. And finally, you’ll be responsible for accelerating hiring globally for the team, as well as technically ramping up new hires, and developing existing team members.

What you’ll do

• Build and lead a high-performing team of Forward Deployed AI Engineers who serve as trusted technical partners to our subscribers.

• Develop team’s expertise in Lorikeet’s AI platform and ensure they are equipped to confidently lead implementation projects from kickoff through deployment and ramp up.

• Coach the team on how to deeply understand customer workflows and business goals, and configure Lorikeet’s AI tools to drive meaningful outcomes

• Foster a team culture of curiosity and proactive solutioning, empowering team members to recommend AI-driven strategies that extend beyond traditional support use cases

• Ensure tight collaboration with the product team by helping the team capture and communicate customer feedback and insights to influence product direction.

• Support team members in navigating complex technical integrations with creativity, speed, and care.

• Create systems for ongoing skill development, customer empathy, and operational excellence across the solutions function.

• Serve as an advocate and unblocker for the team, ensuring they have the tools, clarity, and autonomy to build strong, trusted relationships with customers.

The right candidate

The ideal candidate has a technical background, maybe as a former engineer, and then learned the business. You have experience scaling solutions engineering or other similar customer-facing technical teams.

Candidly, this role is perfect for someone who is (1) deeply interested in AI, (2) is excited to mentor and develop others (3) is energized by operating at the nexus of the technical implementation of AI and ensuring customer success.

We need someone who is technically-minded and excited to dive into the technical aspects of AI, loves building, learning, and tinkering, and most importantly, is hyper-focused on customer impact. You'll have the opportunity to shape not just individual client implementations, but also our overall approach to customer deployment and success.

You might be a fit if you:

• Previously brought a technical foundation into client-facing roles, evolving from individual contributor to team lead within high-growth, cross-functional environments

• Managed and developed Solutions Engineering teams responsible for implementation, integration, and post-sales technical support across a range of enterprise and startup clients

• Have previous experience leading daily team operations including project oversight, prioritization, unblocker support, and performance coaching

• Served as the connective tissue between Product, Engineering, and Customer teams, ensuring consistent feedback loops and roadmap alignment

• Hired and onboarded technical talent with both traditional (CS/Eng) and nontraditional (no-code, data, operations) backgrounds

• Coached team members to grow in client communication, technical depth, and problem-solving autonomy

• Built and refined internal processes for implementation timelines, stakeholder management, and scaling high-touch support in a startup context

• Have previous experience operating in a data-driven manner; setting, tracking, and reporting progress against key business metrics

• Have actively explored and deployed AI tools to enhance team workflows, solution delivery, and internal enablement

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

• On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.

• 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

We are looking for a seasoned team lead for our growing team of Forward Deployed AI Engineers, who specialises in getting Lorikeet trained up and deployed for our global customers as fast as possible.

As the Head of Forward Deployed Engineering at Lorikeet, you'll be in charge of the bridge between Lorikeet's technology and our clients' success. You’ll manage the team that serves as our customers’ AI experts, integration experts, and problem solvers, guiding them in forging strong relationships and great outcomes for their customers. You’ll empower the team to break new ground with our customers, ultimately ensuring quick integrations and a growing automation rate among our subscriber base. And finally, you’ll be responsible for accelerating hiring globally for the team, as well as technically ramping up new hires, and developing existing team members.

What you’ll do

• Build and lead a high-performing team of Forward Deployed AI Engineers who serve as trusted technical partners to our subscribers.

• Develop team’s expertise in Lorikeet’s AI platform and ensure they are equipped to confidently lead implementation projects from kickoff through deployment and ramp up.

• Coach the team on how to deeply understand customer workflows and business goals, and configure Lorikeet’s AI tools to drive meaningful outcomes

• Foster a team culture of curiosity and proactive solutioning, empowering team members to recommend AI-driven strategies that extend beyond traditional support use cases

• Ensure tight collaboration with the product team by helping the team capture and communicate customer feedback and insights to influence product direction.

• Support team members in navigating complex technical integrations with creativity, speed, and care.

• Create systems for ongoing skill development, customer empathy, and operational excellence across the solutions function.

• Serve as an advocate and unblocker for the team, ensuring they have the tools, clarity, and autonomy to build strong, trusted relationships with customers.

The right candidate

The ideal candidate has a technical background, maybe as a former engineer, and then learned the business. You have experience scaling solutions engineering or other similar customer-facing technical teams.

Candidly, this role is perfect for someone who is (1) deeply interested in AI, (2) is excited to mentor and develop others (3) is energized by operating at the nexus of the technical implementation of AI and ensuring customer success.

We need someone who is technically-minded and excited to dive into the technical aspects of AI, loves building, learning, and tinkering, and most importantly, is hyper-focused on customer impact. You'll have the opportunity to shape not just individual client implementations, but also our overall approach to customer deployment and success.

You might be a fit if you:

• Previously brought a technical foundation into client-facing roles, evolving from individual contributor to team lead within high-growth, cross-functional environments

• Managed and developed Solutions Engineering teams responsible for implementation, integration, and post-sales technical support across a range of enterprise and startup clients

• Have previous experience leading daily team operations including project oversight, prioritization, unblocker support, and performance coaching

• Served as the connective tissue between Product, Engineering, and Customer teams, ensuring consistent feedback loops and roadmap alignment

• Hired and onboarded technical talent with both traditional (CS/Eng) and nontraditional (no-code, data, operations) backgrounds

• Coached team members to grow in client communication, technical depth, and problem-solving autonomy

• Built and refined internal processes for implementation timelines, stakeholder management, and scaling high-touch support in a startup context

• Have previous experience operating in a data-driven manner; setting, tracking, and reporting progress against key business metrics

• Have actively explored and deployed AI tools to enhance team workflows, solution delivery, and internal enablement

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

• On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.

• No nonsense recruitment process. The process is: 1) informal chats with Remy and JJ 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

We are looking for a seasoned team lead for our growing team of Forward Deployed AI Engineers, who specializes in getting Lorikeet trained up and deployed for our global customers as fast as possible.

As the Head of Forward Deployed Engineering at Lorikeet, you'll be in charge of the bridge between Lorikeet's technology and our clients' success. You’ll manage the team that serves as our customers’ AI experts, integration experts, and problem solvers, guiding them in forging strong relationships and great outcomes for their customers. You’ll empower the team to break new ground with our customers, ultimately ensuring quick integrations and a growing automation rate among our subscriber base. And finally, you’ll be responsible for accelerating hiring globally for the team, as well as technically ramping up new hires, and developing existing team members.

What you’ll do

• Build and lead a high-performing team of Forward Deployed AI Engineers who serve as trusted technical partners to our subscribers.

• Develop team’s expertise in Lorikeet’s AI platform and ensure they are equipped to confidently lead implementation projects from kickoff through deployment and ramp up.

• Coach the team on how to deeply understand customer workflows and business goals, and configure Lorikeet’s AI tools to drive meaningful outcomes

• Foster a team culture of curiosity and proactive solutioning, empowering team members to recommend AI-driven strategies that extend beyond traditional support use cases

• Ensure tight collaboration with the product team by helping the team capture and communicate customer feedback and insights to influence product direction.

• Support team members in navigating complex technical integrations with creativity, speed, and care.

• Create systems for ongoing skill development, customer empathy, and operational excellence across the solutions function.

• Serve as an advocate and unblocker for the team, ensuring they have the tools, clarity, and autonomy to build strong, trusted relationships with customers.

The right candidate

The ideal candidate has a technical background, maybe as a former engineer, and then learned the business. You have experience scaling solutions engineering or other similar customer-facing technical teams.

Candidly, this role is perfect for someone who is (1) deeply interested in AI, (2) is excited to mentor and develop others (3) is energized by operating at the nexus of the technical implementation of AI and ensuring customer success.

We need someone who is technically-minded and excited to dive into the technical aspects of AI, loves building, learning, and tinkering, and most importantly, is hyper-focused on customer impact. You'll have the opportunity to shape not just individual client implementations, but also our overall approach to customer deployment and success.

You might be a fit if you:

• Previously brought a technical foundation into client-facing roles, evolving from individual contributor to team lead within high-growth, cross-functional environments

• Managed and developed Solutions Engineering teams responsible for implementation, integration, and post-sales technical support across a range of enterprise and startup clients

• Have previous experience leading daily team operations including project oversight, prioritization, unblocker support, and performance coaching

• Served as the connective tissue between Product, Engineering, and Customer teams, ensuring consistent feedback loops and roadmap alignment

• Hired and onboarded technical talent with both traditional (CS/Eng) and nontraditional (no-code, data, operations) backgrounds

• Coached team members to grow in client communication, technical depth, and problem-solving autonomy

• Built and refined internal processes for implementation timelines, stakeholder management, and scaling high-touch support in a startup context

• Have previous experience operating in a data-driven manner; setting, tracking, and reporting progress against key business metrics

• Have actively explored and deployed AI tools to enhance team workflows, solution delivery, and internal enablement

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.