Lead Software Engineer

Job Title

Engineering Lead at SiftHub, based out of Mumbai - On-site Role

Company Details

At SiftHub, we are on a mission to make the life of sales and solutions teams more efficient and help them to focus on selling. SiftHub AI Sales Engineer empowers sales and pre-sales teams to improve win rates and close deals faster. SiftHub is an AI platform that acts as a central hub to collate and sift through all your content scattered across multiple repositories and tools such as Drive, Sharepoint, Confluence, CRM, Slack, product knowledge base.

As a Senior QA Engineer, you will lead end-to-end product quality efforts to ensure bug free product releases. You will spearhead new initiatives to enhance both product quality and testing processes, maintaining thorough test documentation and introducing automation when applicable.

Whether you're an AI expert or an aspiring one, SiftHub offers an environment that supports and challenges you, enabling your growth and success. Join us today and help us shape the future of AI for enterprises!

Job Roles & Responsibilities

- Lead and manage engineering teams focused on AI and cloud solution development.

- Drive integration of AI/ML models, focusing on sales response automation.

- Oversee architecture design using AWS, Azure, and GCP in collaboration with technical teams.

- Guide the development of NLP models and AI-powered sales tools.

- Collaborate with cross-functional teams to enhance product offerings like AI Sales Engineer and Q&A Repository.

- Ensure secure data practices by employing AES 256 encryption and TLS 1.2+ protocols.

- Mentor junior engineers to foster innovation and technical growth.

- Align engineering efforts with SiftHub's strategic objectives for improved efficiency.

Cultural Expectations

- Thrive in a fast-paced startup environment.

- Foster a collaborative team atmosphere, prioritizing knowledge sharing.

- Embrace innovation to drive AI solutions in sales automation.

- Uphold high standards of data security and ethical AI use.

- Adapt agile methodologies for quick iterations and improvements.

Hiring Process

R1: Profile Shortlisting

R2: Initial Screening with Apurva

R3: Tech evaluation

R4: Founder interview with Manisha