Company Description:
Understand the who, what, and why of QED42
At QED42, we think of ourselves as a team of emphatic and imaginative people who build brands and customer experiences. Over the last 13 years, with an aim to take digital forward, we’ve lived through different versions of building better, by focusing on increased community connections, workplace flexibility, and a culture that doesn’t say it subtly but screams - ‘Experiment — Fail — Succeed.’We believe QED42's strength lies in our inclusive community of people; the eternal optimists and torchbearers of an ever-evolving digital ecosystem.
Our marquee customers include - Unicef, Nestle, Novartis, Warner Music Group, Sony, Stanford Graduation School of Business, ILAO, SABMiller, FILA, PwC, and more.
Why work at QED42?
Apart from endless opportunities to do great meaningful work for industry leaders and startups with ambitious goals – at QED42 we care for QEDians and their loved ones through our holistic approach to benefits and perks. Being there with our people every step of the way. From health insurance, and free online consultations to mental health apps, to time when you need it.
A glimpse of your life at QED42
There’s life at work and then there’s life beyond work. We want everyone to be well, travel frequently, have time to volunteer, and get the support they deserve while living their best life at QED42.
Job Description
Objective:
To be successful in this role, you should have previous experience in managing different revenue channels like - OB, IB, Account-based sales, and partnerships, and should have an exemplary record in Managing Outbound Sales processes end to end - cohort research, developing leads by outbound sales campaigns, meeting sales targets.
Experience in developing IT services and Sales pipelines will help you meet expectations from this role. Experience dealing with Open Source services in various technologies is desirable but optional. Experience in tools such as - CRMS (like Zoho and Hubspot), customer data tools (like Apollo and Zoominfo), OB process tools (email tools, calling tools), and networking tools (like Linkedin and Sales navigator) is a must. Good communication skills are necessary to cultivate strong customer relationships, from the first contact until you close the deal. You will also extend account management and customer feedback/surveys for continuous improvement.
The prime KPI will be revenue from outbound processes and new accounts. The secondary KPI will be revenue from all channels.
If you are motivated and outcome-driven and enjoy working in the technology space with cross-functional teams, we would like to meet you!
Responsibilities:
- Research, prospect, educate, qualify, and develop Target Accounts to create sales-ready leads and opportunities.
- Personalize content for the decision-makers by researching and creating compelling business pitches.
- Research accounts, identify key players, generate interest and develop accounts to stimulate opportunity.
- Interact with prospects via telephone, email, social, and other digital forums.
- Disseminate opportunities via a stable connection with the business and project teams.
- Work with external agencies and utilize digital platforms like LinkedIn to create opportunities for business conversations with client CTOs and CMOS and decision-makers in these departments.
- Become a trusted resource and develop superior relationships with prospects
- Consistently achieve qualified opportunity quotas (at the top of the funnel) and revenue quotas (at the bottom of the funnel) to ensure growth objectives.
- Manage end to end - email, phone, and social campaigns to create a business pipeline
- Manage all Leads and deals in CRM & ensure a great customer experience
- Provide closed-loop feedback to ensure continuous process optimization.
Mandatory Experience:
- CRM creation & maintenance, hands-on experience in all tools for -
- Research, prospect, contact finding, outreach, etc.
- Excellent communication and relationship-building skills and customer orientation.
- A go-getter, driven by metrics, with experience in owning Sales KPIs (both - top and bottom funnel)
- Experience in dealing with businesses and decision-makers, experience in international markets (at least one of the USA, Europe, and Australia).
- Bid management, RFP management, Client negotiations, Deal closures, and contract management experience are a must.
- Experience managing teams/individuals for research, lead generation and funnel.
Qualifications
Mandatory requirements:
- 7 years experience with at least 5 years in a business development role in IT-Sales (products & services)
- Business or Technology graduation is a must. MBA - Marketing (preferred).
- Hands-on experience with CRM, Sales, and analytics tools like Zoho, Hubspot, SalesForce, ZoomInfo, Adapt, LinkedIn Sales Navigator, etc. (required)
- Experience in segmentation, positioning, and targeting to create a Sales funnel and experience in closing revenue targets of USD 1M.
Additional Information
What you will get:
- A company that is proud of the quality of its work and invested in your personal development & well-being.
- A team that respects openness does its job well, values customers, and plays fairly.
- Individuals who are fun to work with are invested in each other's growth and take their values seriously.
- Dedicated time for self-improvement, socializing, and collaboration (Conferences /Camps, Certifications, Parties, Lunch & Learn Sessions, Celebrations, and Company Retreats).
- Flexible work schedule so long as you uphold your commitments to your family, team, and clients.
- Competitive salary, incentives, insurance, and many perks.

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We're seeking an experienced Engineer to join our engineering team, handling massive-scale data processing and analytics infrastructure that supports over 1B daily events, 3M+ DAU, and 50k+ hours of content. The ideal candidate will bridge the gap between raw data collection and actionable insights, while supporting our ML initiatives.
Key Responsibilities
- Lead and scale the Infrastructure Pod, setting technical direction for data, platform, and DevOps initiatives.
- Architect and evolve our cloud infrastructure to support 1B+ daily events — ensuring reliability, scalability, and cost efficiency.
- Collaborate with Data Engineering and ML pods to build high-performance pipelines and real-time analytics systems.
- Define and implement SLOs, observability standards, and best practices for uptime, latency, and data reliability.
- Mentor and grow engineers, fostering a culture of technical excellence, ownership, and continuous learning.
- Partner with leadership on long-term architecture and scaling strategy — from infrastructure cost optimization to multi-region availability.
- Lead initiatives on infrastructure automation, deployment pipelines, and platform abstractions to improve developer velocity.
- Own security, compliance, and governance across infrastructure and data systems.
Who You Are
- Previously a Tech Co-founder / Founding Engineer / First Infra Hire who scaled a product from early MVP to significant user or data scale.
- 5–12 years of total experience, with at least 2+ years in leadership or team-building roles.
- Deep experience with cloud infrastructure (AWS/GCP),
- Experience with containers (Docker, Kubernetes), and IaC tools (Terraform, Pulumi, or CDK).
- Hands-on expertise in data-intensive systems, streaming (Kafka, RabbitMQ, Spark Streaming), and distributed architecture design.
- Proven experience building scalable CI/CD pipelines, observability stacks (Prometheus, Grafana, ELK), and infrastructure for data and ML workloads.
- Comfortable being hands-on when needed — reviewing design docs, debugging issues, or optimizing infrastructure.
- Strong system design and problem-solving skills; understands trade-offs between speed, cost, and scalability.
- Passionate about building teams, not just systems — can recruit, mentor, and inspire engineers.
Preferred Skills
- Experience managing infra-heavy or data-focused teams.
- Familiarity with real-time streaming architectures.
- Exposure to ML infrastructure, data governance, or feature stores.
- Prior experience in the OTT / streaming / consumer platform domain is a plus.
- Contributions to open-source infra/data tools or strong engineering community presence.
What We Offer
- Opportunity to build and scale infrastructure from the ground up, with full ownership and autonomy.
- High-impact leadership role shaping our data and platform backbone.
- Competitive compensation + ESOPs.
- Continuous learning budget and certification support.
- A team that values velocity, clarity, and craftsmanship.
Success Metrics
- Reduction in infra cost per active user and event processed.
- Increase in developer velocity (faster pipeline deployments, reduced MTTR).
- High system availability and data reliability SLAs met.
- Successful rollout of infra automation and observability frameworks.
- Team growth, retention, and technical quality.
A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.
Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.
We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.
Key Responsibilities:
1. Data Strategy and Vision:
· Develop and drive the company's data analytics strategy, aligning it with overall business goals.
· Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.
2. Data Analysis and Interpretation:
· Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.
· Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.
3. Data Infrastructure and Tools:
· Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.
· Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.
4. Collaboration and Stakeholder Management:
· Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.
· Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.
5. Performance Measurement:
· Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.
· Continuously assess and improve the accuracy and relevance of analytical models and methodologies.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
- Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
- Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
- Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
- Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie
Analytics Job Description
We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will
partner closely with leaders across the organization, working together to understand the how
and why of people, team and company challenges, workflows and culture. The team is
responsible for delivering data and insights that drive decision-making, execution, and
investments for our product initiatives.
You will work cross-functionally with product, marketing, sales, engineering, finance, and our
customer-facing teams enabling them with data and narratives about the customer journey.
You’ll also work closely with other data teams, such as data engineering and product analytics,
to ensure we are creating a strong data culture at Blend that enables our cross-functional partners
to be more data-informed.
Role : DataEngineer
Please find below the JD for the DataEngineer Role..
Location: Guindy,Chennai
How you’ll contribute:
• Develop objectives and metrics, ensure priorities are data-driven, and balance short-
term and long-term goals
• Develop deep analytical insights to inform and influence product roadmaps and
business decisions and help improve the consumer experience
• Work closely with GTM and supporting operations teams to author and develop core
data sets that empower analyses
• Deeply understand the business and proactively spot risks and opportunities
• Develop dashboards and define metrics that drive key business decisions
• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,
and Workato
• Design our Analytics and Business Intelligence architecture, assessing and
implementing new technologies that fitting
• Work with our engineering teams to continually make our data pipelines and tooling
more resilient
Who you are:
• Bachelor’s degree or equivalent required from an accredited institution with a
quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist
• Must have strong SQL and data modeling skills, with experience applying skills to
thoughtfully create data models in a warehouse environment.
• A proven track record of using analysis to drive key decisions and influence change
• Strong storyteller and ability to communicate effectively with managers and
executives
• Demonstrated ability to define metrics for product areas, understand the right
questions to ask and push back on stakeholders in the face of ambiguous, complex
problems, and work with diverse teams with different goals
• A passion for documentation.
• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a
dynamic environment.
• A bias towards communication and collaboration with business and technical
stakeholders.
• Quantitative rigor and systems thinking.
• Prior startup experience is preferred, but not required.
• Interest or experience in machine learning techniques (such as clustering, decision
tree, and segmentation)
• Familiarity with a scientific computing language, such as Python, for data wrangling
and statistical analysis
• Experience with a SQL focused data transformation framework such as dbt
• Experience with a Business Intelligence Tool such as Mode/Tableau
Mandatory Skillset:
-Very Strong in SQL
-Spark OR pyspark OR Python
-Shell Scripting
ML Engineer
HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.
*Make sure to fill out the link below*
To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84
Responsibilities:
- Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
- Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
- Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
- Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
- Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
- Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
- Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
- Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
- Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
- Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
- Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
- Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.
Qualifications:
- Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
- Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
- Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
- Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
- Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
- Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
- Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
- Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.
Responsibilities & duties:
- • Research, track, maintain and update leads
- • Make outgoing calls to develop new business
- • Contact prospects to qualify leads
- • Direct email marketing to key clients and prospects
- • Research and maintain lead generation database
- • Conduct customer research
- • Conduct client or market surveys to obtain information about potential leads
- • Participate in the preparation of proposals and / or sales presentations
- • Provide accurate and timely information to management
- • Develop a strong knowledge of the company’s products and services in order to facilitate the sales process
Skills / attributes required:
- • Excellent English communication (verbal and written)
- • Experience with cold calling
- • Experience with research and maintaining databases
- • Proficient in MS Office including Word, Excel, and Outlook
- • Experience in using CRM
- • Strong project and time management skills
- • Experience working with Western companies (preferred)
Position
Frontend / UI Developer
Minimum 1 year experience in UI Development (Mobile, Tablet and Web)
Requirements
Highly Proficient in HTML5, CSS, JQuery, JavaScript, React.js and JSON
Experience in designing response interfaces
Experience in Javascript framework like ReactJS (preferred) or AngularJS
Excellent problem solving and communication skills
Graduate in any stream
Job Description
We are looking for a Front-End Web Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with a cross-functional team to create simple and easy to use interfaces and will also be taking an active role in defining how the application looks.
Salary: As per Industry Standards
Industry: Fintech
Role: UI Developer
Location: Mumbai
GCP Data Analyst profile must have below skills sets :
- Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
- Data cleansing, data visualization, data wrangling
- Data modeling , data warehouse concepts
- Adapt to Big data platform like Hadoop, Spark for stream & batch processing
- GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)
YOU'LL BE OUR : Data Scientist YOU'LL BE BASED AT: IBC Knowledge Park, Bangalore
YOU'LL BE ALIGNED WITH :Engineering Manager
YOU'LL BE A MEMBER OF : Data Intelligence
WHAT YOU'LL DO AT ATHER:
-
Work with the vehicle intelligence platform to evolve the algorithms and the platform enhancing ride experience.
-
Provide data driven solutions from simple to fairly complex insights on the data collected from the vehicle
-
Identify measures and metrics that could be used insightfully to make decisions across firmware components and productionize these.
-
Support the data science lead and manager and partner in fairly intensive projects around diagnostics, predictive modeling, BI and Engineering data sciences.
-
Build and automate scripts that could be re-used efficiently.
-
Build interactive reports/dashboards that could be re-used across engineering teams for their discussions/ explorations iteratively
-
Support monitoring, measuring the success of algorithms and features build and lead innovation through objective reasoning and thinking Engage with the data science lead and the engineering team stakeholders on the solution approach and draft a plan of action.
-
Contribute to product/team roadmap by generating and implementing innovative data and analysis based ideas as product features
-
Handhold/Guide team in successful conceptualization and implementation of key product differentiators through effective benchmarking.
HERE'S WHAT WE ARE LOOKING FOR :
• Good understanding of C++, Golang programming skills and system architecture understanding
• Experience with IOT, telemetry will be a plus
• Proficient in R markdown/ Python/ Grafana
• Proficient in SQL and No-SQL
• Proficient in R / Python programming
• Good understanding of ML techniques/ Sparks ML
YOU BRING TO ATHER:
• B.E/B.Tech preferably in Computer Science
• 3 to 5 yrs of work experience as Data Scientist









