We believe that great work comes from great people.

At MeetRecord, we are reimagining the revenue tech stack around customer conversations.

MeetRecord's revenue intelligence platform helps businesses gain in-depth visibility into customer conversations to automate coaching and accelerate deal flow. Revenue leaders can analyze root causes, track market intelligence, and devise a blueprint to close deals faster.

Over the last two years, MeetRecord has grown at a top-percentile pace, with 80% of its customers in the US market. MeetRecord is backed by SWC Global, Powerhouse Ventures, All in Capital, and GSF, which have backed successful SaaS companies like Whatfix and Slintel at an early stage.

Responsibilities:

Algorithm Development:

• Design and implement machine learning algorithms to improve user engagement and retention.
• Utilize predictive modelling to enhance hyper-personalized experience for users via recommendations
• Enable optimization, automation, and machine intelligence in various business decision making across marketing, business planning, and so on.

Data and Model Analysis:

• Analyze large datasets to extract meaningful insights that drive product enhancements and business decisions.
• Work closely with data engineering teams to ensure data quality and availability.
• Work closely with engineering team to ensure standard modelling pipeline including data and model drift monitoring and course correction
• Ensure quality assurance of the models in the productions through in-depth analysis of the models and their outcomes pertaining to the context

Product Integration:
Collaborate with product managers to integrate AI capabilities into the platform.
Ensure seamless user experiences through AI-driven features.

Technology Evaluation:

• Stay abreast of the latest advancements in AI and machine learning technologies.
• Evaluate and recommend new technologies to enhance the platform's capabilities.

Collaboration:
Work closely with cross-functional teams, including product development, marketing, and customer support.
Collaborate with stakeholders to understand business requirements and provide AI-driven solutions.
Collaborate with other AI teams to exchange and leverage best practices, frameworks, and algorithms

Qualifications:

• Master's in Computer Science, AI, Machine Learning, or a related field.
• 3+ years of industry experience with proven experience.
• Knowledge of state-of-the-art AI developments and strong ability and conviction to strategically plan and connect modern into business context.
• Expertise in predictive modelling, recommender systems, statistical analysis, and/or modern AI networks such as NLP, computer vision, transformers or Gen AI concepts.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
• Join us in creating modern revenue tech-stack with the power of AI. AI. If you are a visionary leader with a passion for technology, we invite you to apply and be a key player in our exciting journey.

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