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Home›Jobs›Mindtickle›Software Development Engineer - III
Mindtickle

About Mindtickle

Empowering sales teams with data-driven readiness

🏢 Tech👥 501-1000 employees📅 Founded 2011📍 Financial District, San Francisco, CA💰 $281.3m⭐ 2.9
B2BInternal toolsMarketingTrainingCustomer serviceSaaSSales

Key Highlights

  • Valuation of $1.2 billion after Series E funding
  • Raised $281.3 million from top investors
  • Serves Fortune 500 clients including AWS and LinkedIn
  • Headquartered in San Francisco's Financial District

MindTickle is a leading sales readiness platform headquartered in the Financial District of San Francisco, CA. The company specializes in onboarding, product training, and coaching, helping clients like AWS, LinkedIn, and Hewlett-Packard enhance their sales teams' productivity. With a valuation of $...

🎁 Benefits

MindTickle offers comprehensive health insurance, commuter benefits, and flexible work-from-home opportunities, ensuring employees have a balanced wor...

🌟 Culture

MindTickle fosters a culture focused on data-driven sales readiness, utilizing a gamified approach to training that enhances engagement and effectiven...

🌐 Website💼 LinkedIn𝕏 TwitterAll 23 jobs →
Mindtickle

Software Development Engineer - III

Mindtickle • Bengaluru, Karnataka

Posted 8 months ago🏛️ On-SiteSeniorSoftware engineering📍 Pune
Apply Now →

Job Description

Who we are

Mindtickle is the market-leading revenue productivity platform that combines on-the-job learning and deal execution to get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product. We’re honoured to be recognized as a Leader in the first-ever Forrester Wave™: Revenue Enablement Platforms, Q3 2024!

As an SDE-3 in AI/ML, you will:

- Translate business asks and requirements into technical requirements, solutions, architectures, and implementations.
- Define clear problem statements and technical requirements by aligning business goals with AI research objectives.
- Lead the end-to-end design, prototyping, and implementation of AI systems, ensuring they meet performance, scalability, and reliability targets.
- Architect solutions for GenAI and LLM integrations, including prompt engineering, context management, and agentic workflows.
- Develop and maintain production-grade code with high test coverage and robust CI/CD pipelines on AWS, Kubernetes, and cloud-native infrastructures.
- Establish and maintain post-deployment monitoring, performance testing, and alerting frameworks to ensure performance and quality SLAs are met.
- Conduct thorough design and code reviews, uphold best practices, and drive technical excellence across the team.
- Mentor and guide junior engineers and interns, fostering a culture of continuous learning and innovation.
- Collaborate closely with product management, QA, data engineering, DevOps, and customer facing teams to deliver cohesive AI-powered product features.

Interested in this role?

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