District Sales Manager | Malkangiri

A BIT ABOUT US

Appknox is a leading mobile application security platform that helps enterprises automate security testing across their mobile apps, APIs, and DevSecOps pipelines. Trusted by global banks, fintechs, and government agencies, we enable secure mobile experiences with speed and confidence.

About the Role:

We're looking for a Jr. Technical Support Engineer to join our global support team and provide world-class assistance to customers in the US time zones from 8pm to 5am IST. You will troubleshoot, triage, and resolve technical issues related to Appknox’s mobile app security platform, working closely with Engineering, Product, and Customer Success teams.

Key Responsibilities:

• Respond to customer issues via email, chat, and voice/voip calls during US business hours.
• Diagnose, replicate, and resolve issues related to DAST, SAST, and API security modules.
• Troubleshoot integration issues across CI/CD pipelines, API connections, SDKs, and mobile app builds.
• Document known issues and solutions in the internal knowledge base and help center.
• Escalate critical bugs to engineering with full context, reproduction steps, and logs.
• Guide customers on secure implementation best practices and platform usage.
• Collaborate with product and QA teams to suggest feature improvements based on customer feedback.
• Participate in on-call support rotations if needed.

Requirements:

• 1–4 years of experience in technical support, Delivery or QA roles at a SaaS or cybersecurity company.
• Excellent communication and documentation skills in English.
• Comfortable working independently and handling complex technical conversations with customers.
• Basic understanding of mobile platforms (Android, iOS), REST APIs, Networking Architecture, and security concepts (OWASP, CVEs, etc.).
• Familiarity with command-line tools, mobile build systems (Gradle/Xcode), and HTTP proxies (Burp).
• Ability to work full-time within US time zones. Ensure that you have a stable internet connection and work station. 

Good to have skills:

• Experience working in a product-led cybersecurity company.
• Knowledge of scripting languages (Python, Bash) or log analysis tools.
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI) is a plus.
• Familiarity with ticketing and support tools like Freshdesk, Jira, Postman, and Slack.

Compensation

• As per Industry Standards

Interview Process:

• Application- Submit your resume and complete your application via our job portal.
• Screening-We’ll review your background and fit—typically invite you on cutshort for a Profile Evaluation call (15 mins)
• Assignment Round- You'll receive a real-world take-home task to complete within 48 hours.
• Panel Interview- Meet with a cross-functional interview panel to assess technical skills, problem-solving, and collaboration.
• Stakeholder Interview- A focused discussion with the Director to evaluate strategic alignment and high-level fit.
• HR Round- Final chat to discuss cultural fit, compensation, notice period, and next steps.

Personality Traits We Admire:

• A confident and dynamic working persona, which can bring fun to the team, and a sense of humour, is an added advantage.
• Great attitude to ask questions, learn and suggest process improvements.
• Has attention to details and helps identify edge cases.
• Highly motivated and coming up with fresh ideas and perspectives to help us move towards our goals faster.
• Follow timelines and absolute commitment to deadlines.

Why Join Us:

• Freedom & Responsibility: If you are a person who enjoys challenging work & pushing your boundaries, then this is the right place for you. We appreciate new ideas & ownership as well as flexibility with working hours.
• Great Salary & Equity: We keep up with the market standards & provide pay packages considering updated standards. Also as Appknox continues to grow, you’ll have a great opportunity to earn more & grow with us. Moreover, we also provide equity options for our top performers.
• Holistic Growth: We foster a culture of continuous learning and take a much more holistic approach to train and develop our assets: the employees. We shall also support you all on that journey of yours.
• Transparency: Being a part of a start-up is an amazing experience, one of the reasons being open communication & transparency at multiple levels. Working with Appknox will give you the opportunity to experience it all first-hand.

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong technical skills, business acumen, and the ability to communicate insights effectively.

We are looking for a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). The ideal candidate should have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications.

Key Responsibilities:

Develop and implement AI/ML models.

Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs.

Fine-tune and optimize Large Language Models (LLMs) for various applications.

Design and train custom Machine Learning models using structured and unstructured data.

Leverage NLP techniques such as text summarization, Named Entity Recognition (NER).

Implement ML pipelines and deploy models in cloud environments (AWS/GCP/Azure).

Collaborate with cross-functional teams to integrate AI-driven solutions into business applications.

Stay updated with latest AI advancements and apply innovative techniques to improve model performance.

Required Skills & Qualifications:

1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI.

 Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn.

 Hands-on experience with NLP models, including BERT, GPT, T5, LLaMA, and Stable Diffusion.

 Expertise in data preprocessing, feature engineering, and model evaluation.

 Experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes).

 Knowledge of vector databases and retrieval-augmented generation (RAG) techniques.

 Ability to fine-tune LLMs and work with prompt engineering.

 Strong problem-solving skills and ability to work in agile environments.

Educational Requirements:

Bachelor's, Master's, or PhD in Computer Science/Artificial Intelligence/Information Technology

Preferred Skills (Good to Have):

Experience with Reinforcement Learning (RLHF) and multi-modal AI.

Familiarity with AutoML, Responsible AI (RAI), and AI Ethics.

Exposure to Graph Neural Networks (GNNs) and time-series forecasting.

Contributions to open-source AI projects or research papers.

Job Description: Data Analyst

Position: Data Analyst

Location: Gurgaon

Experience Level: 1-3 Years

Employment Type: Full-Time

Role Overview

We are looking for a results-driven Data Analyst to join our team and support business decision-making through data insights and analytics. The ideal candidate will be highly proficient in Python, skilled in data visualization tools, and experienced in solving complex problems to drive measurable business outcomes such as revenue growth or cost reduction.

Key Responsibilities

Data Analysis and Insights:

Extract, clean, and analyze large datasets using Python to uncover trends and actionable insights.

Develop predictive models and conduct exploratory data analysis to support business growth and operational efficiency.

Business Impact:

Identify opportunities to increase revenue or reduce costs through data-driven strategies.

Collaborate with stakeholders to understand business challenges and provide analytics-driven solutions.

Data Visualization:

Build intuitive dashboards and reports using tools like Zoho Analytics, Looker Studio, or Tableau.

Present findings and insights clearly to both technical and non-technical stakeholders.

Problem-Solving:

Work on end-to-end problem-solving, from identifying issues to implementing data-backed solutions.

Continuously optimize processes through automation and advanced analytics techniques.

Collaboration and Reporting:

Work closely with teams across departments to understand data needs and deliver solutions tailored to their goals.

Provide ongoing reporting and insights to track key performance indicators (KPIs) and project outcomes.

Required Skills & Qualifications

Technical Expertise:

Strong proficiency in Python, including libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

Hands-on experience with BI tools like Zoho Analytics, Looker Studio, or Tableau.

Analytical Skills:

Proven ability to analyze data to generate insights that drive decision-making.

Demonstrated success in addressing business challenges and achieving results such as revenue increment or cost reduction.

Problem-Solving:

Experience working on real-world business problems, identifying root causes, and implementing data-based solutions.

Communication:

Strong ability to communicate complex insights effectively to diverse audiences.

Excellent presentation and storytelling skills to translate data into actionable business strategies.

Preferred Qualifications

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.

Certifications in data analytics tools or platforms (e.g., Tableau, Looker).

Experience with advanced analytics or machine learning concepts.

What We Offer

Opportunity to work on impactful projects that directly influence business outcomes.

Collaborative, innovative, and supportive work environment.

Access to cutting-edge tools and technologies.

Competitive salary and growth opportunities.

1. As a Pre-Sales Engineer, you will be responsible for designing and drafting systems for Technical Proposals brought in by the sales team, ensuring that quotes are technically correct before submitting to clients.
2. Preparation of proposal based on the RFP / RFQ docs and Understand the CAD drawing.
3. Generate BOQ, Compliance Statement, system descriptions, schematic drawings, material / technical submittal, system programming such as Crestron, Extron, Bose and other OEM products etc.
4. Provide sales and technical staff with technical support on both a pre- and post-sales basis
5. Communicate and interact with internal employees, clients and colleagues in a professional and timely manner.
6. Conduct or attend a Site visit and Site surveys when needed.
7. Develop and maintain knowledge of current and new technologies that company offers.