At Perlon AI, we're building the future of digital sales agents to handle routine work end-to-end, freeing humans to focus on what they do best - creating, innovating, and building meaningful relationships. 

Every company needs to sell, and the B2B Sales space presents one of the biggest single opportunities for AI innovation. McKinsey estimates that gen AI could open up an incremental $0.8 trillion to $1.2 trillion in productivity across sales and marketing. Gartner forecasts that within just a few years, 60% of B2B seller activities will be executed via generative AI technologies. And our early traction proves the direction things are headed. 

In little over a year, we have signed dozens of customers including publicly listed companies and series-E fintechs. We are backed by a leading VC and have established a global customer base across North America, Europe, Asia and MEA. We are growing 25% month-on-month and are now looking to expand our engineering team. 

PERLON AI LTD

At Perlon AI, we're building the future of digital sales agents to handle routine work end-to-end, freeing humans to focus on what they do best - creating, innovating, and building meaningful relationships.

Every company needs to sell, and the B2B Sales space presents one of the biggest single opportunities for AI innovation. McKinsey estimates that gen AI could open up an incremental $0.8 trillion to $1.2 trillion in productivity across sales and marketing. Gartner forecasts that within just a few years, 60% of B2B seller activities will be executed via generative AI technologies. And our early traction proves the direction things are headed.

In little over a year, we have signed dozens of customers including publicly listed companies and series-E fintechs. We are backed by a leading VC and have established a global customer base across North America, Europe, Asia and MEA. We are growing 25% month-on-month and are now looking to expand our engineering team.

 
Here’s what you can expect:

<ol>
	<li>Work alongside a skilled team of experienced and high-performing engineers and commercial operators.</li>
	<li>End-to-end ownership. You will be entrusted with complete ownership over projects.</li>
	<li>Daily shipping. We care a lot about product velocity and tend to push updates several times a day.</li>
	<li>Work with a modern tech stack. (NextJS, Vercel, Planetscale, Inngest, LLM Agent frameworks)</li>
	<li>Autonomy: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward.</li>
</ol>

 
What you’ll do:

<ol>
	<li>Build full-stack features using modern frameworks and tools.</li>
	<li>Tackle scalability challenges.</li>
	<li>Work on the most important, highest impact product updates.</li>
</ol>

You should:

<ol>
	<li>Be proficient in NextJS, especially the app router.</li>
	<li>Feel very comfortable with Typescript, React, and SQL.</li>
	<li>Have experience building products for scale.</li>
	<li>Have a passion for engineering, know best practices and understand how to apply them.</li>
	<li>Thrive as a 0 to 1 product engineer.</li>
</ol>

Full Stack Engineer

Lately, everything needs analytics, and LENA is a Philippine start-up that provides just that. We provide personalized end-to-end data solutions to both leaders of industries and to SMEs that are looking for an edge -- whether that is in data collection, data storage, data analytics, AI, data science or data strategy! Our objective goes beyond delivering solutions, but to enable clients to appreciate, learn, and integrate data-driven techniques and analytics for their organizations.
As part of our goal to enable transformation through data, we are looking for future leaders who are looking to improve themselves, and are excited to shape individuals, organizations, and even societies. As a LENA employee, you will be both an analytical and creative engineer who is able to grasp user needs, work together to create impactful solutions, and communicate business outcomes.

LENA is the trade name of Twelve Baskets Analytics, Inc.

--- COMPANY VALUES ---
PASSION FOR LEARNING AND INNOVATION
We appreciate the fact that everyone knows something others do not and no one knows everything they need to know. We learn from ourselves and one another. We practice an attitude of teaching and learning to grow as a team.
We value the journey of finding new and better ways of doing things. We continuously develop works of quality and innovate better practices.

WE AS A TEAM
We promote smart ideas and good collaboration working as a team. We understand and accept the value of feedback, listening, and following. We manage and lead our work in a manner that benefits everyone. We initiate and participate in developing ourselves, our work, our customers, and our workplace.

ENGINEERING AND ENTREPRENEURSHIP
We believe that our work must create value for our customers and ourselves. We approach each day with the initiative to solve business problems smartly and to automate as much as we can.

LENA - Lately, Everything Needs Analytics

As our Data Engineering Manager, you will lead and grow a team of Data Engineers embedded in various client accounts. You will be responsible for people development, performance management, delivery oversight, and organizational influence—working closely with our Head of Data Engineering and the Data Engineering Council.

You are expected to bring deep engineering experience to provide mentorship and coaching, challenge designs, and model sound engineering judgment—especially in solving ambiguous or poorly scoped problems, rather than writing code full-time.



Resposibilities:

People Management

<ul>
	<li>Manage and mentor a team of Data Engineers (mix of junior and senior)</li>
	<li>Conduct regular 1:1s, performance reviews, and career development planning</li>
	<li>Provide both mentorship and coaching to engineers at all levels</li>
	<li>Support onboarding and upskilling of Data Engineers across accounts</li>
</ul>

Technical Leadership

<ul>
	<li>Provide guidance on how Data Engineers design and develop data modeling, ETL/ELT pipeline architecture, testing, and documentation</li>
	<li>Provide development and standards for implementing the data engineering lifecycle and its undercurrents, such as Observability and Software Engineering for each Data Engineer</li>
	<li>Review technical work periodically (e.g., PRs, architecture proposals)</li>
	<li>Collaborate with senior engineers and the Data Engineering Council to set engineering standards and reuse strategies</li>
</ul>

Project Support &amp; Delivery Oversight

<ul>
	<li>Partner with cross-functional leads (e.g., Data Visualization Engineers) to ensure smooth delivery across squads</li>
	<li>Monitor health of delivery: timelines, blockers, data quality issues</li>
	<li>Act as an escalation point for technical and operational challenges</li>
</ul>

Org Building &amp; Process Improvement

<ul>
	<li>Help shape our technical onboarding, leveling framework, and Data Engineer career pathing</li>
	<li>Drive systems thinking: shared libraries, playbooks, reusable infra patterns</li>
	<li>Contribute to recruiting, hiring, and talent branding</li>
</ul>

Performance Management and Coaching

Python

Complex Problem-Solving

Stakeholder Management

People Management

Product Development

Data Engineering Manager

Remedy is a dermatology technology company focused on treating acne, which is one of the most common skin conditions worldwide. Remedy seeks to be the trusted innovative acne solution.

Founded by tried and tested professionals in dermatology and tech, we are grounded in experience, expertise and continued innovation in the marriage of both fields.

We pride ourselves in developing reasonably priced high quality dermatological solutions, because we believe that everyone deserves long- lasting confidence in themselves.

Remedy Skintech, Inc.

Remedy offers a modern approach to skin, health and wellness. Our mission is to eliminate stigmas and make it easier for people to access skin care and treatment for the conditions that impact their daily lives. We've chosen to start with acne but that is one of many problems and conditions Remedy aims to cure. We've created an open and honest culture of care that is accessible for everyone, no matter who you are or where you live.

Remedy is seeking a full-time board-certified Dermatologist to join our team! As our Dermatologist, you will primarily be conducting consultations and performing non-surgical treatments to our growing community of patients.

Key Responsibilities: 

<ul>
	<li>Perform various non-surgical procedures such as lasers, dermal fillers and acne treatments</li>
	<li>Conducting skin consultations (either in-clinic or teleconsultations)</li>
	<li>Prescribing treatments and products</li>
	<li>Lead R&amp;D for new treatments and procedures that Remedy can adopt</li>
</ul>

Dermatologist

We are looking for bright and talented Senior Data Engineers to join our dynamic team here at LENA.

As a Data Engineer, you are responsible for the development, implementation, and maintenance of systems and processes that convert raw data to actionable, clean, and consistent information for downstream consumers. This job position focuses on keeping data architectures as abstract and straightforward as possible.

Tasks may include:

<ul>
	<li class="text-justify">Managing data engineering lifecycles through off-the-shelf products, managed services, and tools;</li>
	<li class="text-justify">Implementing data warehouses, data lakes, and data meshes;</li>
	<li class="text-justify">Developing data models relevant to the core domain of the client;</li>
	<li class="text-justify">Designing and developing orchestration of data engineering lifecycles;</li>
	<li class="text-justify">Reviewing and providing insight to architectural decision records for different systems that generate data;</li>
	<li class="text-justify">Transforming existing data structures for efficient analytical workflows;</li>
	<li class="text-justify">Serving data for downstream consumers, such as analytics and ML;</li>
	<li class="text-justify">Providing mentorship and training for data engineering; and</li>
	<li class="text-justify">Collaborating closely with partners and customers (upstream and downstream) to understand their data, design data structures, and provide functionality that is beneficial to the project.</li>
</ul>

As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. Furthermore, you will provide growth to your team members through mentorship and collaboration. You will have the opportunity to engage with clients and improve in communication, leadership and management skills.

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