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Program Manager
Optimize enterprise operations and train reliable AI agents by capturing real-time work context across all applications without complex system integrations.
Benefits:
Flexible work environment
Growth & Impact
Innovative AI Platform
Collaborative Culture
Education Requirements:
Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Business)
Master's degree (MBA or M.S.) or professional certification is a plus
Experience Requirements:
7-15 Years
7 - 10 years of experience in program or project management
Minimum of 3 years focused on delivering technology solutions to BFSI clients
Other Requirements:
Understanding of SaaS/PaaS delivery models
Understanding of regulatory frameworks in BFSI sector
Responsibilities:
Lead Program Delivery for large-scale PaaS implementation
Act as the primary point of contact for client leadership
Ensure Compliance & Quality with BFSI standards
Coordinate Cross-Functional Excellence
Manage Performance & Risk
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Sales Development Representative
Automate customer calls and extract actionable insights from 100% of interactions to boost sales conversions, ensure compliance, and improve agent performance.
Benefits:
Learning & Upskilling reimbursement (up to ₹12,000/year)
Wellness & Leisure Allowance (₹24,000/year)
Comprehensive Health and Accident Insurance
Weekly Friday Treats (snacks)
Quarterly Team Outings
Education Requirements:
Bachelor’s degree (in any discipline)
Experience Requirements:
1-2 year of experience in an SDR, lead generation, or inside sales role (preferred but not mandatory)
Other Requirements:
High motivation to build a career in tech sales
Excellent verbal and written communication skills
Confidence in reaching out via email, LinkedIn, and phone calls
Strong research skills and a problem-solving mindset
Familiarity with CRM tools like HubSpot or Salesforce is appreciated
Responsibilities:
Research and identify new business opportunities through online research and campaigns
Convert and qualify marketing-generated inbound leads into sales-ready opportunities
Perform client needs analysis and tailor outreach messaging
Build meaningful relationships with prospects for handoff to the Sales team
Maintain and nurture a healthy sales funnel and re-engage dormant leads
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Data Labs Intern
Automate customer calls and extract actionable insights from 100% of interactions to boost sales conversions, ensure compliance, and improve agent performance.
Benefits:
Learning & Upskilling reimbursement
Weekly Friday Treats
Friday Fun & Wellness sessions
Quarterly Team Outings
Other Requirements:
Strong analytical and problem-solving skills
Familiarity with statistical techniques
Experience analyzing structured/unstructured data
Basic knowledge of data visualization tools (Excel, Tableau, Power BI)
Excellent communication skills
Responsibilities:
Explore and analyze large conversational datasets to identify patterns
Perform correlation and statistical analysis to uncover insights
Assist in the development of data labs reports with recommendations
Collaborate with cross-functional teams to interpret analytical results
Support data visualization efforts and create presentations for stakeholders
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Call Quality Analyst
Automate customer calls and extract actionable insights from 100% of interactions to boost sales conversions, ensure compliance, and improve agent performance.
Experience Requirements:
1–3 years of experience in Quality Analysis, contact center QA, or process excellence
Other Requirements:
Good understanding of quality frameworks and SLA-driven environments
Hands-on experience with AI tools and cloud-based platforms
Ability to use ChatGPT, Convin AI, or similar tools for insights
Strong analytical, communication, and problem-solving skills
Comfortable working in fast-paced, tech-first environments
Responsibilities:
Conduct quality audits for client accounts to ensure SLA adherence
Use AI-driven tools to improve audit efficiency and generate insights
Support creation and maintenance of SOPs, scorecards, and frameworks
Analyze audit findings and provide data-backed improvement recommendations
Collaborate with CSMs, Product, and Engineering to support improvements
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Sr Engagement (Project/ Delivery) Manager - State & Local Government
Automate candidate screening, interview scheduling, and onboarding with a conversational AI assistant designed to reduce time-to-hire for talent acquisition teams.
Benefits:
Workday Bonus Plan
Annual refresh stock grants
Comprehensive benefits
Experience Requirements:
6+ years project managing ERP implementations (Medium/Large Enterprise)
6+ years implementing Workday, Oracle, PeopleSoft, or SAP
Solid grasp of Financials, HCM, or Payroll business areas
Other Requirements:
Experience within the Public Sector
Ability to travel 50% or more of the time
Strong conflict management and influencing skills
Prior consulting experience
Responsibilities:
Project manage one or more implementations concurrently
Manage project budget and deliver profitably
Work with client project manager to identify/resolve issues
Present at Executive Steering Committee meetings
Guide and mentor Professional Services resources
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Senior Specialist Internal Control & Audit
Stay ahead of the rapid AI curve with daily news, implementation guides, and expert-led workshops designed for professionals seeking to master the future of work.
Benefits:
Virtual Shares
30 days of annual leave
Mental health resources
Hack Fridays
Flexible working hours
Education Requirements:
Degree in Business Administration or similar, specialising in finance
Experience Requirements:
Professional experience in Internal Controls or Internal Audit
Knowledge of accounting (IFRS)
Experience with SOx compliance software or GRC tools
Other Requirements:
CIA or CA preferred
Initiative and hands-on mentality
Responsibilities:
Build up the SOX programme
Execute risk-based internal audits
Perform financial statement reviews
Lead and document process walkthroughs
Conduct risk assessments over business processes
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Commercial Account Executive | Poland (based in Germany)
Stay ahead of the rapid AI curve with daily news, implementation guides, and expert-led workshops designed for professionals seeking to master the future of work.
Benefits:
30 days of annual leave
Monthly full-day hacking sessions
Regular in-person team events
Mental health resources
Flexible working hours
Experience Requirements:
Proven full-cycle sales experience
Expertise in software sales - especially SaaS preferred
Other Requirements:
Native Polish speaker
Fluency in English and German
Entrepreneurial mindset
Responsibilities:
Pioneer Polish market expansion
Drive business development
Qualify and convert leads
Achieve and exceed revenue targets
Manage entire sales cycle
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LLM Engineer
Empower radiologists and clinicians with FDA-cleared AI for early disease detection, automated imaging quantification, and longitudinal patient follow-up care.
Benefits:
Opportunity to work alongside the best minds in the industry
Education Requirements:
Bachelor’s degree in Computer Science, Information Technology, or a related field
Experience Requirements:
2-5 years
4-5 years
Other Requirements:
Solid understanding of LLM architectures
Strong programming skills in Python
Experience integrating OpenAI, Anthropic, or open-source models
Familiarity with emerging LLM protocols such as MCP
Comfort with cloud platforms (AWS/GCP) and Docker/K8s
Responsibilities:
Design and implement LLM-based features across Qure’s products
Build internal tools, APIs, and developer-facing utilities
Collaborate on modular workflows (RAG, chaining, structured prompting)
Evaluate model performance and behavior using human feedback and metrics
Optimize latency, cost, and reliability of LLM systems
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Sr. Executive / AM - Talent Acquisition
Empower radiologists and clinicians with FDA-cleared AI for early disease detection, automated imaging quantification, and longitudinal patient follow-up care.
Benefits:
Competitive compensation and rewards
Opportunity to grow with a young company
Inclusive workspace
Experience Requirements:
3-5 Years
Other Requirements:
Familiarity with technical hiring (Software Engineers, Data, DevOps)
Hands-on experience with LinkedIn sourcing and ATS tools
Strong communication and follow-up skills
Exposure to hiring for global roles
Responsibilities:
Manage the complete recruitment lifecycle for assigned roles
Partner with hiring managers to understand role requirements
Coordinate interviews and gather feedback
Source candidates using platforms like LinkedIn and job portals
Conduct initial screening calls
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Senior Frontend Engineer
Empower radiologists and clinicians with FDA-cleared AI for early disease detection, automated imaging quantification, and longitudinal patient follow-up care.
Benefits:
Competitive salary
Comprehensive benefits
Professional growth and leadership opportunities
Supportive and fast-paced environment
Education Requirements:
Bachelor's degree in computer science or a related field
Experience Requirements:
4+ years
5+ years of experience in frontend development
Other Requirements:
Focus on JavaScript, TypeScript, React
Working knowledge of Next.js and Tailwind CSS
Experience with animation libraries (React Spring, Framer Motion)
Familiarity with Frontend DevOps tools like Vercel and Docker
Excellent communication skills
Responsibilities:
Develop and maintain robust frontend components
Translate UI/UX designs into user-friendly elements
Optimize application performance and responsiveness
Contribute to the development of a component library
Ensure cross-browser compatibility and debugging
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Sr. Visual Designer, Creative Services, Creative Services
Access personalized product recommendations and streamlined global shopping through AI-driven discovery and voice-activated assistance for consumers and sellers.
Education Requirements:
Bachelor's degree or above in graphic design, interactive design, or equivalent
Experience Requirements:
6+ years’ experience as a visual designer in a creative agency or similar creative production environment
Other Requirements:
Online portfolio or samples of work demonstrating end-to-end user-centered design
Proficiency in Photoshop, Illustrator, Fireworks, and InDesign
Knowledge of typography, design principles, and digital trends
Fluency in English
Responsibilities:
Manage design queue and process of high-visibility executions
Accountable for end-to-end creative development and quality
Create original concepts and designs
Act as subject matter expert and provide training
Lead medium-complexity project initiatives
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Ads Account Manager, Amazon
Access personalized product recommendations and streamlined global shopping through AI-driven discovery and voice-activated assistance for consumers and sellers.
Education Requirements:
Bachelor's degree in Marketing, Advertising, or Business
Experience Requirements:
1+ years of sales experience
Experience working in an external client-facing environment
Other Requirements:
Experience in advertising solutions including sales and online marketing
Analytical skills using Microsoft Excel
Experience with advertising publishers and marketing agencies
Responsibilities:
Deliver inputs, Ad products adoption and Ads revenue goals
Build solid relationships with advertisers and agencies
Identify and onboard media agencies to Amazon Ads network
Analyze campaign performance against key metrics
Troubleshoot technical or implementation issues
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Advertising Account Specialist, Amazon Ads
Access personalized product recommendations and streamlined global shopping through AI-driven discovery and voice-activated assistance for consumers and sellers.
Education Requirements:
Bachelor's degree in Marketing, Advertising, or Business
Experience Requirements:
Experience in advertising solutions including sales, ad operations, and online marketing
Other Requirements:
Master's degree or above in quantitative field preferred
2+ years of B2B sales or account manager experience
2 years of sales experience in FMCG, BFSI or Media industry
Responsibilities:
Build solid relationships with advertisers and agencies
Liaise with Marketing, Product management, and Ad operations
Educate brands on Amazon Advertising offering
Analyze campaign performance against key metrics
Troubleshoot technical or implementation issues
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Data Scientist
Transform complex data challenges into streamlined business outcomes using artisanal software engineering, AI, and machine learning for data-led organizations.
Benefits:
Unlimited leaves
Life insurance & private health insurance
Stock options
No hierarchy
Open Salaries
Education Requirements:
PhD, Master’s, or Graduate Degree in Computer Science
Degree in Machine Learning or AI
Degree in Operational Research
Degree in Statistics or Mathematics
Experience Requirements:
Proven track record in client interaction
Experience collaborating with engineering and business teams
Expertise in formulation, solving and deploying Data Science models
Expertise in problem solving while being hands on
Other Requirements:
Conversant with end-to-end data science model life cycle
Conversant with at least 2 areas: NLP, CV, RAG, LLMs, or ML
Proficiency in Python and relevant libraries
Theoretical strength in deep learning and conventional machine learning
Responsibilities:
Conceptualizing, formulating, coding and deploying solutions
Interacting with clients to make sense of ambiguous problem statements
Building systems like RAG, Multiagent, or LLM-based solutions
Solving problems in computer vision, speech, or NLP
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Data Engineer
Transform complex data challenges into streamlined business outcomes using artisanal software engineering, AI, and machine learning for data-led organizations.
Benefits:
Unlimited leaves
Life insurance & private health insurance
Stock options
No hierarchy
Open Salaries
Experience Requirements:
Demonstrated experience as a Senior Data Engineer
Experience with Python or functional languages like Scala
Design and development of big data applications using Databricks or Spark
Building data products by integrating large sets of internal/external data
Other Requirements:
Nuanced understanding of code quality and Test Driven Development
Understanding of Cloud platforms, DevOps, GitOps, and Containers
Ability to deliver applications end-to-end using CI/CD
Responsibilities:
Collaborate with Data Scientists to deliver AI and ML systems
Build frameworks and tooling for complex data ingestion
Consult clients on data strategy and modernizing infrastructure
Model data for increased visibility and performance
Work in short sprints to deliver working software
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Senior and Lead Engineer – Full Stack
Transform complex data challenges into streamlined business outcomes using artisanal software engineering, AI, and machine learning for data-led organizations.
Benefits:
Unlimited leaves
Life Insurance & Private Health insurance paid by Sahaj
Stock options
No hierarchy
Open Salaries
Experience Requirements:
At least 8+ years experience as a Software Engineer
Expertise with at least one programming language (FP or OOP)
Rich understanding of code quality and TDD
Experience with source control and build toolchains
Other Requirements:
Maker’s mindset – resourceful and able to work without instructions
Knowledge of CI/CD and infra-automation
Understanding of Cloud platforms, IaC, and GitOps
Understanding of web APIs and communication protocols
Responsibilities:
Write high-quality, production-ready code
Lead architecture and design decisions
Utilize DevOps tools to automate build and deployment
Work with Data Scientists to deliver AI/ML systems
Provide hands-on mentorship and technical guidance
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CUDA Engineer
Achieve higher reliability and 8x lower inference costs for AI agents through reinforcement learning and fine-tuning tailored for enterprise-grade performance.
Benefits:
Extremely competitive compensation
High degree of autonomy
Small team of top performers
Opportunity to touch many parts of the stack
Work with CoreWeave infrastructure
Experience Requirements:
Engineer performant CUDA kernels
Familiar with common optimizations such as Punica/S-LoRA kernels
Familiar with Flash Attention
Experience with LoRA adapters on top of large MoE models
Other Requirements:
Learn fast
Ability to ship
Focus on numerical correctness and efficiency
Responsibilities:
Engineer performant CUDA kernels
Focus on both numerical correctness and efficiency
Develop efficient training and inference with LoRA adapters on top of large MoE models
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Reinforcement Learning Engineer
Achieve higher reliability and 8x lower inference costs for AI agents through reinforcement learning and fine-tuning tailored for enterprise-grade performance.
Benefits:
Extremely competitive compensation
GPU-rich environment
High degree of autonomy
Small team of top performers
Experience Requirements:
Trained LLMs to be SOTA on specific tasks
Other Requirements:
Learn fast
Ability to ship
Responsibilities:
Generate and investigate research ideas
Solve remaining obstacles to continuous learning in production
Direct enormous compute at training efforts
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AI Engineer Researcher
Achieve higher reliability and 8x lower inference costs for AI agents through reinforcement learning and fine-tuning tailored for enterprise-grade performance.
Benefits:
Extremely competitive compensation
High degree of autonomy
Small team of top performers
Experience Requirements:
Shipped agents to production
Opinions on what works with today's models
Other Requirements:
Learn fast
Ability to ship
Responsibilities:
Help productize continuous training loops
Figure out the correct UX to ship products to customers
Design dashboards, APIs, or other interfaces
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AI Software Engineering Intern: Microscopy Data Analysis
Overcome microscopy analysis bottlenecks with AI-powered pipelines for spatial biology, volume electron microscopy, and automated neuron reconstruction tasks.
Benefits:
Open communication
Flat hierarchies
Flexible working models
Hybrid work model
Potential for long-term relationship
Education Requirements:
Student of natural sciences, mathematics, or computer science
Excellent academic record
Recent transcript of records
Experience Requirements:
Knowledge of Python
Basic computer science algorithms and data structures
Software engineering principles
Strong English-language communication skills
Other Requirements:
Life-long curiosity-driven learner
Growth mindset and commitment to excellence
Ability to work in Germany (legally and logistically)
Duration: 3–6 months
Responsibilities:
Leverage Python scientific stack, TypeScript or C++
Developing and/or testing novel deep learning models
Building user-facing products and features
Applying models to clients’ research questions
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