
Ideal Candidate
6+ years of experience selling B2B SaaS to US customers
Prior success as one of the first AEs at a startup; comfortable working in a fast-paced, early stage startup environment
Track record of consistently beating your quota
Solid hustle and entrepreneurial mindset; Thrive under the uncertainty that comes with an early stage setup
Strong project management skills and proactiveness, given the long sales cycle and pilot (free trials) heavy nature of deals.
Strong first principles understanding of business fundamentals; Ability to understand the product at a granular level; Ability to empathise with the end user, and understand their pain points
Strong first principles understanding of different stages of the sales funnel, and experience with good CRM hygiene
Strong first principles understanding of sales processes e.g. MEDDPICC
Willingness to get your hands dirty and do the grunt work in the early days.
MANDATORY - Willing to work in the US time zone (~4 am IST) on weekdays (Mon-Fri) because the majority of our clients are based in the US. You have flexibility on when you want to start your day in the afternoon (IST), or take breaks (e.g. family time, gym etc). This role will require you to stretch outside your comfort zone.
Excellent written and oral communication skills
Ability to build, manage and motivate a team
Self driven individual with high ownership and strong work ethic
Previous entrepreneurial experience is a huge plus
Experience catering to CFO persona is a plus
Familiarity with billing systems, CPQ and accounting systems is a plus
Not taking yourself too seriously.

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We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and infrastructure to support cross-functional teams and next-generation data initiatives. The ideal candidate is a hands-on data expert with strong technical proficiency in Big Data technologies and a passion for developing efficient, reliable, and future-ready data systems.
Reporting: Reports to the CEO or designated Lead as assigned by management.
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Shift Timings: 2:00 PM – 11:00 PM IST
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- Identify and implement process improvements such as automation, optimization, and infrastructure re-design for scalability and performance.
- Collaborate closely with Engineering, Product, Data Science, and Design teams to resolve data-related challenges and meet infrastructure needs.
- Partner with machine learning and analytics experts to enhance system accuracy, functionality, and innovation.
- Maintain and extend robust data workflows and ensure consistent delivery across multiple products and systems.
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- Bachelor’s degree in Computer Science, Engineering, or related field.
- 10+ years of hands-on experience in Data Engineering.
- 5+ years of recent experience with Apache Spark, with a strong grasp of distributed systems and Big Data fundamentals.
- Proficiency in Scala, Python, Java, or similar languages, with the ability to work across multiple programming environments.
- Strong SQL expertise and experience working with relational databases such as PostgreSQL or MySQL.
- Proven experience with Databricks and cloud-based data ecosystems.
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- Demonstrated ability to work independently and deliver efficient, stable, and reliable software solutions.
- Excellent communication and collaboration skills in English.
About the Organization:
We are a leading B2B data and intelligence platform specializing in high-accuracy contact and company data to empower revenue teams. Our technology combines human verification and automation to ensure exceptional data quality and scalability, helping businesses make informed, data-driven decisions.
What We Offer:
Our workplace embraces diversity, inclusion, and continuous learning. With a fast-paced and evolving environment, we provide opportunities for growth through competitive benefits including:
- Paid Holidays and Leaves
- Performance Bonuses and Incentives
- Comprehensive Medical Policy
- Company-Sponsored Training Programs
We are an Equal Opportunity Employer, committed to maintaining a workplace free from discrimination and harassment. All employment decisions are made based on merit, competence, and business needs.
Job Title: Data Scientist
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About the Role
We are seeking a highly skilled Data Scientist to join our team in Bangalore. In this role, you will take ownership of data science components across client projects, build production-ready ML and GenAI-powered applications, and mentor junior team members. You will collaborate with engineering teams to design and deploy impactful solutions that leverage cutting-edge machine learning and large language model technologies.
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