5 Hrtech Jobs

As the Lead Corporate Outreach and Workforce Partnerships at SARAS AI Institute, you will play a pivotal role in engaging with corporations, enterprises, and industry networks to bring SARAS's AI learning offerings to the global workforce through strategic partnerships. Your primary objective will be to establish deep and human-first connections with CXOs, HR heads, and L&D leaders, tailoring learning pathways for corporate partners and contributing to workforce transformation goals. Your responsibilities will include identifying and building relationships with key stakeholders, understanding organizational pain points, designing customized solutions in collaboration with academic and product teams, representing SARAS at industry events, and managing the entire partnership lifecycle using CRM tools. Additionally, you will leverage insights from the field to shape future offerings and corporate learning models, driving innovation within the organization. To excel in this role, you should possess 5-10 years of experience in B2B relationship management, enterprise outreach, or strategic partnerships, ideally within the EdTech, SaaS, skilling, or HRTech sectors. You should have a strong network and be comfortable engaging with senior decision-makers, coupled with excellent communication, presentation, and storytelling skills. A consultative mindset, passion for AI and education, as well as the ability to work effectively in a fast-paced, ambiguous environment are essential qualities for success in this position. Joining SARAS AI Institute will offer you the opportunity to be part of a mission-driven institution at the forefront of reshaping higher education in the field of AI. You will collaborate with global leaders, top-tier faculty, and a dedicated team while enjoying autonomy, purpose, and competitive compensation with performance incentives. The culture at SARAS is collaborative, focused on meaningful outcomes, and provides a platform for you to take ownership of a critical function and contribute to the future of work.,

STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are looking for a Senior AI Engineer / Data Engineer to be a part of our engineering team and contribute to building the future of AI-powered business solutions. In this role, you will be involved in developing intelligent systems that make use of advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your efforts will have a direct impact on products that are revolutionizing business operations, particularly in the areas of recruitment, data extraction, and intelligent decision-making. This position offers an exciting opportunity for individuals who excel in constructing production-grade AI systems and are adept at working across the full spectrum of modern AI technologies. Responsibilities - Design, construct, and enhance AI-powered systems utilizing multi-modal architectures encompassing text, voice, and visual elements. - Incorporate and deploy LLM APIs sourced from providers like OpenAI, Anthropic, and AWS Bedrock. - Develop and manage RAG (Retrieval-Augmented Generation) systems featuring hybrid search, re-ranking, and knowledge graphs. - Create real-time AI functionalities through the utilization of streaming analytics and voice interaction tools such as ElevenLabs. - Establish APIs and pipelines using FastAPI or similar frameworks to facilitate AI workflows. - Process and evaluate unstructured documents with an understanding of layout and semantics. - Implement predictive models that drive intelligent business recommendations. - Deploy and sustain scalable solutions leveraging AWS services like EC2, S3, RDS, Lambda, Bedrock, among others. - Utilize Docker for containerization and oversee CI/CD workflows and version control via Git. - Debug, monitor, and optimize performance for large-scale data pipelines. - Collaborate seamlessly with product, data, and engineering teams across different functions. Qualifications - Possess 5+ years of experience in AI/ML or data engineering utilizing Python in production environments. - Hands-on familiarity with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain. - Previous experience in deploying vector databases like PGVector, Weaviate, FAISS, or Pinecone in production settings. - Solid grasp of NLP, document extraction, and text processing. - Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. - Experience with FastAPI or similar frameworks for constructing AI/ML APIs. - Knowledge of embedding models, prompt engineering, and RAG systems. - Proficiency in asynchronous programming for high-throughput pipelines. - Proficiency in Docker, Git workflows, CI/CD pipelines, and adherence to testing best practices. Preferred - Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn). - Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships. - Exposure to real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs). - Advanced Python development skills employing design patterns and clean architecture. - Experience in large-scale data processing (1-2M+ records) with cost optimization techniques for LLMs. - Proficiency in event-driven architecture utilizing AWS SQS, SNS, or EventBridge. - Hands-on experience with fine-tuning, evaluating, and deploying foundation models.,

Job Summary As a Market Research Analyst in the Marketing Operations team , you will be responsible for executing comprehensive market and contact research to support marketing and sales campaigns. Your work will focus on enriching existing records and mining net-new data on target accounts and contacts, ensuring high-quality, up-to-date information in our CRM and marketing automation platforms. You will be instrumental in identifying ICP-aligned companies and personas using advanced secondary research, data scraping, and profiling techniques. Key Responsibilities 1. Account Research & Enrichment Identify ICP-fit companies and create complete company profiles, including industry, sub-industry, size, revenue, region, subsidiaries, etc. Use trusted data sources (web, databases, reports) to validate and enrich firmographic details. 2. Contact Research & Profiling Identify relevant buyer personas and stakeholders from public web sources, LinkedIn, ZoomInfo, and other platforms. Enrich contact records with complete data: Name, Email, Phone, Title, LinkedIn URL, Location, Department, and seniority. 3. Marketing Database Hygiene & Audits Conduct data health audits to identify gaps, duplicates, or outdated information in the CRM or MAP. Run batch updates and manual/automated enrichment workflows for large data sets. Standardize and normalize fields to align with lead scoring and routing logic. 4. Data Uploads & CRM Quality Control Perform QC checks on team-delivered data before uploading into Salesforce/HubSpot. Maintain audit logs, tracking accuracy, completeness, and consistency of data fields. Prepare detailed reports and dashboards to communicate data integrity KPIs. Requirements Education : Bachelors degree in Marketing, Business, Data Analytics, or a related field. Experience : 1–3 years in Market/Contact Research, Data Mining, or Marketing/Sales Operations. Strong working knowledge of secondary research methods and internet-based data mining. Proficiency with Excel/Google Sheets (pivot tables, vlookups, data formatting, etc.) Hands-on experience with platforms like ZoomInfo , LinkedIn Sales Navigator , Apollo , Clearbit or similar tools. Familiarity with CRM (Salesforce) and/or Marketing Automation tools (HubSpot) is a strong plus. Detail-oriented, analytical, and passionate about data accuracy and process improvement. Nice to Have Experience in B2B SaaS or HR Tech environments Exposure to ICP-based segmentation and persona mapping Knowledge in SQL/VB Scripts is a plus

Hiring for B2B SAAS Sales Head

We are looking for an experienced and highly driven Product Manager to lead the transformation of our Talent Acquisition systems and processes . This role will play a key part in setting up a scalable Applicant Tracking System (ATS) and streamlining recruitment workflows to enhance hiring efficiency, quality, and experience across the organization. The ideal candidate combines strong product thinking with a deep understanding of recruitment lifecycle and HR technologies. Key Responsibilities: Lead the end-to-end setup, configuration, and rollout of a modern ATS suited to NxtWave's hiring needs. Collaborate with Talent Acquisition, HR Ops, and Technology teams to gather detailed requirements and translate them into product specifications. Define and prioritize product roadmaps and backlogs, focusing on improving recruiter productivity, candidate experience, and process automation. Map existing TA processes, identify inefficiencies, and redesign workflows for scalability and better visibility. Ensure seamless integration of ATS with other HR tools such as HRIS, background verification tools, onboarding platforms, etc. Monitor key hiring metrics (e.g., time-to-hire, source effectiveness, recruiter throughput) and enable data-driven decision-making through dashboards and reports. Conduct user training sessions, create help documentation, and drive adoption among stakeholders. Use Gen AI to further optimize hiring workflows, automate repetitive tasks, enhance candidate screening, and drive data-driven decision-making. Stay updated with best practices in TA tech and recommend innovations to keep the hiring engine agile and competitive. Requirements: 3-6 years of experience in Product Management, preferably with exposure to HRTech, SaaS, or enterprise software. Proven experience in implementing and managing ATS platforms (e.g., Greenhouse, Lever, Zoho Recruit, Workable, etc.). Strong understanding of talent acquisition lifecycle and recruitment operations. Excellent problem-solving, stakeholder management, and communication skills. Experience working with cross-functional teams (HR, Engineering, Operations). Ability to manage vendor relationships and system integrations. Skills: Must-Have Hands-on experience setting up and scaling ATS tools. Ability to understand complex HR processes and translate them into efficient digital workflows. Strong project management skills with a detail-oriented mindset. Experience with product lifecycle tools like Jira, Confluence, etc. Data fluency ability to work with dashboards and hiring metrics. Good-to-Have Familiarity with HRIS and other HR tech systems. Exposure to workflow automation tools and APIs. Experience working in a high-growth startup or rapidly scaling business. Understanding of legal and compliance aspects of recruitment systems. Job Overview Work Location: Hyderabad (On-site) Working Days: 6 days Work Timing: 10 AM 7 PM