UX Designer

Location: Bangalore

Experience: 2-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies think HR is about policies.

It isn’t.

It’s about building a system where great people join, stay, perform, and scale.

We are at a stage where hiring, performance, and culture cannot depend on founders anymore.

This role exists to build a repeatable, investor-grade people engine.

What you’ll do

You will not “manage HR.”

You will design and run the operating system for people.

1. Build a high-performance hiring engine

• Own hiring across functions (engineering, GTM, ops)
• Design structured hiring processes (scorecards, interview loops, decision frameworks)
• Ensure quality of hire improves over time, not just speed
• Build pipelines for leadership hiring (not just execution roles)

2. Design compensation & ownership frameworks

• Build clear, defensible compensation bands
• Create an ESOP framework aligned with long-term value creation
• Ensure all comp decisions can withstand Series A investor scrutiny

3. Create a world-class onboarding system

• Design onboarding that drives productivity in weeks, not months
• Standardize onboarding playbooks across roles
• Track onboarding success through measurable outcomes

4. Own performance management

• Design and run performance review cycles
• Create clarity on:
• What good looks like
• How performance is measured
• How decisions are made (promotions, exits, rewards)
• Enable managers to run high-quality performance conversations

5. Build team health & operating rhythm

• Own:
• Leave management
• Team well-being
• Feedback loops
• Identify early signals of:
• Burnout
• Misalignment
• Performance drift
• Intervene before problems become visible

6. Develop leadership pipeline

• Identify and hire future leaders
• Work with founders to define leadership expectations
• Build succession depth across teams

7. Create an intern-to-full-time talent engine

• Design structured intern programs
• Train interns into deployable talent
• Build a bench of pre-trained candidates ready for rapid hiring

What success looks like

• Hiring becomes predictable, high-quality, and fast
• New hires become productive within weeks
• Compensation and ESOP structures are clear and defensible
• Performance reviews are objective and trusted
• Team health issues are caught early and resolved
• There is always a ready talent pipeline (interns + leadership)

Who you are

• You have 2-5 years of experience in people operations / talent
• You have built or scaled hiring and people systems, not just executed processes
• You think in systems and frameworks, not policies
• You are comfortable working closely with founders and influencing decisions
• You care deeply about performance, not just culture optics

What will make you stand out

• Experience in high-growth startups (Series A/B stage)
• Designed comp/ESOP frameworks from scratch
• Built structured hiring and performance systems
• Worked on leadership hiring and org design
• Can combine data + judgment in people decisions

Why join

• You will build the people foundation of a scaling company
• Your work directly impacts team quality, speed, and culture
• You will operate close to leadership and influence core decisions

What this role is not

• Not an admin or policy management role
• Not limited to payroll, compliance, or coordination
• Not reactive HR support

What this role is

• A builder of systems
• A guardian of talent quality
• A multiplier of team performance

Job Responsibilities

• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary

Requirements for the Job

1. Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges 

1. Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
2. Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)

1. Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
2. Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
3. Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).

Responsibilities:

1. Collaborate with stakeholders to understand business objectives, processes, and requirements.
2. Conduct thorough analysis of business processes, workflows, and systems to identify areas for improvement.
3. Gather, document, and prioritize business requirements using techniques such as interviews, workshops, and surveys.
4. Analyze data to identify trends, patterns, and insights that can inform decision-making and drive business outcomes.
5. Develop and maintain documentation, including business process models, use cases, user stories, and requirements specifications.
6. Work closely with cross-functional teams to ensure alignment between business needs and technical solutions.
7. Facilitate meetings, workshops, and presentations to communicate findings, solicit feedback, and drive consensus among stakeholders.
8. Collaborate with developers, designers, and QA analysts to ensure successful implementation and testing of solutions.
9. Monitor and evaluate the performance of implemented solutions, and recommend adjustments or enhancements as needed.
10. Stay updated on industry trends, best practices, and emerging technologies related to business analysis and process improvement.

Requirements:

1. Bachelor's degree in Business Administration, Management Information Systems, or related field.
2. Proven experience as a Business Analyst or similar role.
3. Strong analytical skills, with the ability to gather and interpret data from multiple sources.
4. Proficiency in business analysis techniques, such as process modeling, data analysis, and requirements elicitation.
5. Excellent communication skills, including the ability to effectively communicate technical concepts to non-technical stakeholders.
6. Solid understanding of project management principles and methodologies.
7. Experience with business analysis tools and software (e.g., Microsoft Visio, Jira, Confluence) is a plus.
8. Ability to work independently and collaboratively in a fast-paced environment.
9. Strong organizational skills and attention to detail.
10. Certification in business analysis (e.g., CBAP, PMI-PBA) is preferred but not required.