Engineering Lead

Responsibilities:-

• Extensive hands-on experience with frontend technology React Native.
• Build dynamic and reusable components using React Native
• Implement state management for better app performance.
• Use modern JavaScript features for efficient and maintainable code.
• Improve page load times with lazy loading, code splitting, and caching, while ensuring code quality through unit and integration testing.

Requirements:-

• 3-5 years of experience in frontend development working in a fintech industry, with a focus on highly scalable systems.
• Excellent leadership and communication skills, with experience managing teams of engineers and coordinating cross-functional efforts.
• Ability to solve complex problems under pressure, with a focus on delivering innovative solutions.
• Strong decision-making ability in fast-paced, dynamic environments.
• Self-motivated, proactive, and able to work independently while also collaborating in a team.

Introduction:

Reconect.ai is a cutting-edge technology company headquartered in Bengaluru, pioneering the use of advanced AI to transform the debt collection industry. Our B2B SaaS platform leverages AI-driven strategies to streamline the entire debt collection process, enhancing operational efficiency and customer experience for financial institutions.

We are looking for a highly motivated and ambitious Sales Development Representative (SDR) with 3+ years of experience in SaaS sales. The SDR will play a crucial role in driving our sales growth and expanding our market presence by generating qualified leads and nurturing prospects through the early stages of the sales funnel.

Key Responsibilities:

• Conduct targeted outbound prospecting efforts to identify and qualify leads through multiple channels, including cold calling, email campaigns, LinkedIn outreach, and industry events.
• Research and identify key decision-makers within financial institutions; understand their pain points and business objectives related to customer engagement, automation, and digital transformation.
• Engage prospects in meaningful conversations to uncover specific challenges and position Reconect.ai’s solutions as the right fit.
• Collaborate closely with the sales team to ensure smooth handoff of qualified leads and maintain strong pipeline momentum.
• Conduct timely follow-ups with leads, schedule appointments, and coordinate meetings between prospects and the sales team.
• Actively participate in sales meetings, contribute insights to sales strategies, and share feedback from prospects to help refine product positioning and marketing initiatives.

Qualifications

• 3+ years of experience in SaaS sales or a similar role, preferably in debt collection, banking, and financial services.
• Proven track record of achieving or exceeding sales targets and generating qualified leads.
• Strong communication and interpersonal skills, with the ability to build rapport and establish lasting relationships with prospects.
• Excellent phone etiquette and active listening skills to understand customer needs and tailor messaging accordingly.
• Self-motivated and driven to succeed, with a competitive mindset and the ability to thrive in a fast-paced sales environment.
• Familiarity with CRM software and sales tools is a plus.
• Solid organizational and time management skills to prioritize tasks and manage multiple leads effectively.

Why Join Us?

• Be part of a fast-growing AI company transforming the debt collection space.
• Work with a collaborative and driven team that values innovation and growth.
• Gain exposure to leading-edge AI and SaaS solutions that are redefining customer engagement.

MUST have skills:

• BE Computer Science, MCA or equivalent
• Cloud app development experience
• Strong Understanding of Threejs Concepts
• Experience working with Threejs Immersive projects using Camera,Lights,Textures,Animations and shaders.
• Understanding of APIs, pagination, searching, sorting 
• Experience in setting up Projects with Webpack and the various loaders and plugins.
• Creating high performance UI etc.
• Proficient understanding of web markup, including html5 and css3.
• Basic understanding of 3D mathematics.
• 1 years of experience in 3D technologies such as WebGL, Three.js, etc
• Experience working in a Distributed/Cloud-based environment.

Experience:

• Min 3 year experience
• Startup experience is a must. 

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

About LodgIQ

LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.

Title : Data Scientist

• Apply Data Science and Machine Learning to a REAL-LIFE  problem  - “Predict Guest Arrivals and Determine Best Prices for Hotels”
• Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
• Help scale up the product in a global offering across 100+  global markets

• Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization.    Student projects are acceptable.
• At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
•   Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
•   Solid grasp over  optimization techniques
•   Master's  or PhD degree in Business Analytics.  Data science, Statistics or Mathematics
•   Ability to show a track record of solving large, complex problems