TESTING MANAGER

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding.

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (Preferably Top product companies, AI native companies, B2B SaaS)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Mandatory (Note): Candidates who have owned end-to-end product development or worked on app development projects during their graduation will be highly preferred.

Mandatory (Note 2): The role offers a mix of work setups, including remote, Mumbai (in-office), and Bangalore (in-office) opportunities

🧭 VP – Sales Framework

1. Job Description (JD)

Designation: Vice President – Sales

Department: Sales & Marketing

Reports To: Directors

Purpose:

To lead and drive the organisation’s revenue generation, sales strategy, and market

positioning across all real-estate projects. The VP – Sales is accountable for building a

high-performance in-house sales engine, nurturing a strong channel partner network, and

ensuring optimal sales velocity with a 70:30 ratio between direct and channel sales. The role

requires balancing strategic oversight with hands-on execution — from market mapping and

budgeting to team leadership, compliance, and brand representation.

2. Key Responsibility Areas (KRAs)

KRA Description Key Deliverables / KPIs

1. Sales Strategy &

Revenue

Achievement

Design and implement sales

plans to achieve quarterly and

annual targets for all projects.

Maintain 70:30 Direct vs Channel

Sales ratio.

Achieve ≥ 25 sales at launch and

≥ 6 sales per quarter post-launch-

Maintain approved sales ratio

(variation only with Director

approval)

2. Team Building &

Leadership

Recruit, train and lead a

complete in-house sales

ecosystem (Marketing,

Pre-Sales, Closures, CRM).

Team hiring completed within plan

timelines- ≥ 80% staff target

achievement- Attrition < 10%

3. Channel Partner

Network

Development

Identify and onboard

RERA-registered channel

partners; maintain strong

relationships to drive sales.

Number of active partners ≥ 50

per project- Channel sales closure

contribution ≤ 30% of total saleMarket

Intelligence &

Positioning

Conduct competitive project

analysis and define pricing, USP

and marketing narrative.

Quarterly market mapping report-

Price positioning and sales velocity

alignment with market data

5. Marketing &

Brand Direction

Oversee development and

approval of marketing collaterals

(flyers, brochures, videos,

hoardings).

Timely release of marketing

assets- All creatives approved by

VP Sales prior to publishing

6. Budget & ROI

Accountability

Manage marketing and sales

budgets — max 2% of property

sale value (all inclusive).

Quarterly budget utilisation ≤ 2%

cap- In-house incentives ≤ 0.2%

per sale- Expense-to-result ratio

review each quarter

7. Process & CRM

Governance

Establish robust

lead-management and

confidential CRM SOPs to

prevent leakage.

100% lead traceability and

confidentiality compliance- SOP

audit pass each quarter

8. Legal &

Documentation

Alignment

Finalise EOI, Booking Forms, CP

Agreements with Legal and

Directors.

Templates standardised before

launch- Zero legal deviation in

customer documentation

9. Events & Brand

Engagement

Plan and execute Channel

Partner meets and sales events.

Minimum 1 major CP event per

quarter- ≥ 75% attendance of top

partners

10. Reporting &

Performance

Review

Maintain weekly sales

dashboards and monthly

management reports.

Accurate report submission by 1st

week of each month- Variance

analysis with corrective actions

Role Summary

·       Deliver Sourcing and Category Management for the Contingent Labor category in the Americas region (LATAM, US and Canada). Majority of spend is in the U.S.

·       Support development and execution regional category strategy and plan

·       Provide category thought leadership, knowledge sharing and continuous improvement

·       This position will be in India

Responsibilities

·       Manage team member activities including setting individual targets, team targets and performance monitoring

·       Analyze spend, identify opportunities and deliver programs that generate cost savings, contract improvements and risk mitigation

·       Develop and execute category strategies and plans in concert with the other functional teams (Recruiting, Finance, Legal, Sales & Delivery Teams)

·       Provide thought leadership and promote knowledge sharing process across all regions

·       Provide support to sales & delivery teams in responding to RFPs for procurement of Temp Labor.

·       Obtain support and agreement for procurement strategies from key stakeholders to ensure optimal compliance.

·       Work with internal stakeholders to identify and support their need for filling contingent labor roles

·       Initiate and manage Rfx’s (RFQ’s, RFI’s and RFP’s) related contract labor

·       Contract negotiation and implementation

·       Define and manage key supplier relationships to deliver improvement in performance, cost, service and quality. Responsible for Supplier Relationship Management program.

·       Measure supplier performance against contractual and service delivery targets.

·       Lead supplier review meetings with business stakeholders and suppliers to assess supplier performance and contract compliance and take corrective action as required. Promote vendor capabilities within the organization. Provide official communication to suppliers as necessary.

·       Negotiate Savings and best possible commercials across the contingent labor category. Track and report savings.

·       Establish and report on measurable performance metrics for all procurement activities including supplier performance, payment terms, contractual terms, savings, and spend under management

·       Establish and develop relationships with all key stakeholders: suppliers, internal customers; engaging with internal recruitment team, procurement, payables and other business stakeholders.

·       Assist in providing procurement solutions to our clients

·       Drive value added activities by implementing innovative strategies that both support and align with the organization’s priorities and goals

·       Develop and Manage the Supplier Diversity Initiative

Key Skills/Experience:

·       5+ years Procurement experience delivering contingent labor category sourcing/buying services, strategic sourcing, contract negotiation and supplier relationship management.

·       Advanced knowledge of the US contingent labor marketplace (e.g. suppliers, rates, labor laws, technology, rate benchmarking tools)

·       Exposure to contract laws, negotiation, market dynamics, commercial strategy, strategic sourcing, contract management and supply relationship management

·       Experience evaluating, selecting, and implementing a VMS technology

·       Strong communication skills and drive desired results within the organization

·       Excellent people management skills; Proficient in verbal communication, writing, time management, organizational and presentation skills

·       Ability to interact and influence at all levels

·       Excellent analytical and decision-making skills

·       Exceptionally strong work ethic displaying a mature, professional, service-oriented attitude with an ability to adjust quickly to change

·       Motivated, self-starter and achievement oriented

·       Demonstrated ability to build relationships / partnerships (internal and external), and ability to influence and drive change

·       Proficiency in Microsoft Office suite, including Word, PowerPoint and Excel

·       Excellent negotiation, influence, mediation & conflict management skills

·       Bachelor’s Degree required, Advance degree and/or Contingent Labor certification a plus

Core Competency:

Professional development experience, working the full stack on large scale B2B, SaaS products. • Expertise with learning new technologies and strong experience with our tech stack AngularJS, JavaScript, Node.js, Go, React.js and Postgres. • Bachelor’sin Computer Scienceorsolid knowledgeof CS fundamentals(OOP, designpatterns, algorithms, etc...) • Experience and adesire towork in a fast-paced environment. • We are a leading cloud-based open platform used by some of the most prestigious companies around • You will get to work with some of the most complex technologies on the market today • You will have an opportunity to work at all levels of the organization.

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

• Bachelor's degree in computer science, information science, or similar.
• At least two years' experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

About WeSkill: WeSkill is an early-stage funded EdTech startup. Founded by alums from IIMA, IITB and IITD. We are on a mission to reimagine holistic education for kids in India.

As a Full Stack App Developer, you will:

• Be a core team member and ride alongside the founders in a high-growth journey

• Play the role of a tech-lead on various projects, and establish yourself as an SME in certain areas

• Design, build and maintain high performance, reusable, and reliable code

• Write Unit & UI tests, set up dashboards and alerting, uncover and fix bugs, crashes, and other issues, in order to ensure a robust app

• Analyze and optimize UI and infrastructure application code for quality, efficiency, and performance

• Mentor, coach and develop engineers and lead by example

• Collaborate with Product Designers to deliver compelling consumer-facing products on the Android Platform

We are looking for:

• Minimum experience of 3 years in developing android applications with proficiency in Kotlin/ Flutter
• Strong preference for candidates who've worked for a consumer-facing product company or social media or EdTech company
• Experience in defining system architectures and exploring technical feasibility tradeoffs.
• Have experience with common Android libraries like Retrofit, OkHttp, Picasso, RxJava, Gson, Arch-components, etc.
• Debugging skills, including identifying memory leaks, performance bottlenecks, and using tools like adb, proguard, etc
• Experience with multithreading programming and mobile memory management is a plus

Pay range: Competitive salary with generous ESOP pool

Position: Senior Android Developer

Industry: Recruitment & Staffing (must have)

Required Experience and Qualifications:
- 2 years of experience
- Should have sold/is selling recruitment/talent/staffing/workforce solutions
- Hands-on experience in sales, business development, B2B, lead generation, telephone & email prospecting, corporate sales, market mapping & research, cold calling, appointment generation, etc
- Passionate about making talent acquisition cognitive
- New customer acquisition
- Ready to learn and unlearn

Benefits: Paid holidays, work detox leaves, menstruation leaves for women, robust incentive plans, education allowance, mobile reimbursement, etc.

Key Tasks and Duties:
- Prospecting for new clients/lead generation
- End-to-end B2B selling
- Monthly and annually new client acquisitions
- Direct communication with customers via e- mail and telephone to promote Reed & Willow & its Service Range
- Execute marketing plan/marketing campaigns (e.g. targeted e- shot, mail shot)
- Follow up and qualify contacts from web registrations, promotions, events, and other marketing and sales activities
- Preparation and presentation of results from campaigns
- Setting up Sales Meetings with qualified prospects
- Recording of all sales activities in the CRM- Market research feedback

Traits of our Team:
Motivation and drive: 
- Is driven and enthusiastic, which encourages commitment from others
- Responds positively to problems and uses them as an opportunity to do things differently or better

Planning and organizing: 
- Structures work to achieve the best outputs
- Anticipates and adjusts for problems and roadblocks, taking responsibility for prior commitments

Delivering results and continuous improvement:
- Is flexible and able to revise the plan when needed
- Analyses issues or set- backs without bias, and is open about mistakes to encourage learning
- Meets targets and deadlines