HireTo

Sales Associate

Experience : 5 to 10 years

Location : Hyderabad (initially remote)

Shift : 7:00 PM to 4:00 AM(IST)

Job type : Full-time

Skills:

sales and business development

b2b sales

ai products sales

hrtech

talent hiring landscape

acv

sales target planning

software product sales

Role :

We are seeking a highly motivated and experienced Sales Lead to join our growing team and drive the adoption of our AI Talent platform. As a foundational member of our sales organization, you will be responsible for building and executing a sales strategy that targets founders, hiring managers, and talent acquisition leaders at high-growth technology companies. This is a unique opportunity to represent a cutting-edge product and play a pivotal role in our company’s growth story. The ideal candidate is a strategic thinker with a hands-on approach, capable of both closing deals and building the framework for a scalable sales function.

Key Responsibilities :

• Develop and execute a comprehensive sales strategy to achieve and exceed revenue targets.
• Identify, engage, and cultivate relationships with key decision-makers, primarily within the tech and startup ecosystem.
• Manage the full sales cycle, from prospecting and lead generation to product demonstrations, negotiation, and closing deals.
• Articulate The Cohort’s value proposition clearly, demonstrating how our AI-driven solution solves critical hiring challenges.
• Build and maintain a robust sales pipeline, providing accurate forecasting and reporting.
• Collaborate with the marketing team to align on lead generation campaigns and sales enablement materials.
• Gather customer feedback and market intelligence to inform product development and sales strategy.
• As the team grows, mentor and lead junior sales representatives to foster a high-performance culture.

Qualifications :

• 5+ years of experience in a B2B SaaS sales role, with a proven track record of exceeding sales quotas.
• Experience in the HR technology, recruiting, or talent acquisition industry is strongly preferred.
• Demonstrated success in selling to founders, C-level executives, and hiring managers.
• Exceptional communication, presentation, and negotiation skills.
• A deep understanding of the challenges and dynamics of technical recruiting.
• Self-starter with an entrepreneurial spirit, comfortable working in a fast-paced, ambiguous environment.
• Proficiency with modern CRM and sales engagement platforms.

What We Offer :

• A competitive salary and commission structure.
• Comprehensive benefits package.
• The opportunity to be an early and impactful member of a rapidly growing AI startup.
• A collaborative and innovative work culture.
• The chance to work with a cutting-edge product that is transforming an industry.

Role : Senior Technical Recruiter - US Market

Location : Hyderabad(Onsite)

Shift : 7:00 PM to 4:00 AM(IST)

Full-time

Role Overview :

We are looking for an experienced Senior Technical Recruiter with proven leadership capabilities and deep expertise in the US staffing market. The ideal candidate will have a strong background hiring for AI, Product-based, and SaaS organizations, along with the ability to mentor recruiters, drive hiring strategy, and partner closely with stakeholders to deliver high-quality talent at scale.

Key Responsibilities :

• Lead end-to-end recruitment for complex technical roles across AI, Product, and SaaS domains in the US market
• Partner with hiring managers, engineering leaders, and business stakeholders to understand hiring needs and workforce planning
• Drive hiring strategy, market intelligence, and talent mapping for niche and high-demand skill sets
• Mentor, guide, and review the work of junior recruiters to improve quality, speed, and candidate experience
• Manage the full recruitment lifecycle: sourcing, screening, interviewing, offer negotiation, and onboarding support
• Utilize advanced sourcing techniques (LinkedIn, Boolean, job boards, referrals, ATS, talent pools)
• Ensure compliance with US staffing regulations, hiring practices, and documentation standards
• Build and maintain strong pipelines for roles including Software Engineering, AI/ML, Data, Product, Cloud, DevOps, and Architecture
• Track and report recruitment metrics (time-to-hire, conversion ratios, quality of hire)
• Strengthen employer branding and candidate engagement for US-based clients and roles

Required Experience & Skills :

• 5+ years of experience in US Technical Recruitment / US Staffing
• Strong hiring exposure in AI, Product-based, and SaaS organizations
• Hands-on experience recruiting for complex technical roles across multiple tech stacks
• Proven leadership or mentoring experience within a recruitment team
• Excellent understanding of the US recruitment lifecycle, time zones, and client expectations
• Expertise in Boolean search, LinkedIn Recruiter, ATS tools, and sourcing platforms
• Strong stakeholder management, communication, and negotiation skills
• Ability to work in a fast-paced, high-volume, high-quality hiring environment

Preferred Qualifications :

• Experience working with product companies, startups, or global SaaS firms
• Prior experience managing or scaling recruitment teams
• Exposure to diversity hiring initiatives in the US market
• Excellent analytical and reporting skills

Position Title : Senior Data Engineer(Founding Member) - Insurtech StartUp

Location : Hyderabad(Onsite)

Immediate to 15 days Joiners

Experience : 5+ to 13 Years

Role Summary

We are looking for a Senior Data Engineer who will play a foundational role in:

• Client onboarding from a data perspective
• Understanding complex insurance data flows
• Designing secure, scalable ingestion pipelines
• Establishing strong data modeling and governance standards

This role sits at the intersection of technology, data architecture, security, and business onboarding.

.

Key Responsibilities

• Lead end-to-end data onboarding for new clients and partners, working closely with business and product teams to understand client systems, data formats, and migration constraints
• Define and implement data ingestion strategies supporting multiple sources and formats, including CSV, XML, JSON files, and API-based integrations
• Design, build, and operate robust, scalable ETL/ELT pipelines, supporting both batch and near-real-time data processing
• Handle complex insurance-domain data including Contracts, Claims, Reserves, Cancellations, and Refunds
• Architect ingestion pipelines with security-by-design principles, including secure credential management (keys, secrets, tokens), encryption at rest and in transit, and network-level controls where required
• Enforce role-based and attribute-based access controls, ensuring strict data isolation, tenancy boundaries, and stakeholder-specific access rules
• Design, maintain, and evolve canonical data models that support operational workflows, reporting & analytics, and regulatory/audit requirements
• Define and enforce data governance standards, ensuring compliance with insurance and financial data regulations and consistent definitions of business metrics across stakeholders
• Build and operate data pipelines on a cloud-native platform, leveraging distributed processing frameworks (Spark / PySpark), data lakes, lakehouses, and warehouses
• Implement and manage orchestration, monitoring, alerting, and cost-optimization mechanisms across the data platform
• Contribute to long-term data strategy, platform architecture decisions, and cost-optimization initiatives while maintaining strict security and compliance standards

Required Technical Skills

• Core Stack: Python, Advanced SQL(Complex joins, window functions, performance tuning), Pyspark
• Platforms: Azure, AWS, Data Bricks, Snowflake
• ETL / Orchestration: Airflow or similar frameworks
• Data Modeling: Star/Snowflake schema, dimensional modeling, OLAP/OLTP
• Visualization Exposure: Power BI
• Version Control & CI/CD: GitHub, Azure Devops, or equivalent
• Integrations: APIs, real-time data streaming, ML model integration exposure

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in data engineering or similar roles
• Strong ability to align technical solutions with business objectives
• Excellent communication and stakeholder management skills

What We Offer

• Direct collaboration with the core US data leadership team
• High ownership and trust to manage the function end-to-end
• Exposure to a global environment with advanced tools and best practices