Automation Engineer

Role Objective

As a Member of the GTM Staff, you will join our Full-Stack Sales Team focusing on global markets. This role is specifically designed for high-energy builders who want to own the entire end-to-end B2B SaaS sales cycle from Day 1. You will not be a cog in a machine spinning out cold lists you will learn modern SaaS sales by doing, fully supported by our advanced AI prospecting stack and dedicated GTM engineers.

Key Responsibilities

• Own the Global Outbound Pipeline: Run high-volume outbound calling and design personalized email and LinkedIn outreach sequences to identify and qualify warm prospects across global markets.
• Multi-Stakeholder Account Engagement: Map target organizations and engage decision-makers across multiple functions, including Sales, Marketing, RevOps, and Executive Leadership.
• Full-Cycle Deal Management: Conduct deep initial discovery conversations, qualify opportunities, and partner closely with Pre-Sales and Demo Engineers to move deals seamlessly from first contact to close.
• Maintain Peak CRM Hygiene: Drive operational excellence by updating activity tracking, deal pipelines, and stakeholder notes daily within our CRM stack.
• Inbound & Campaign Alignment: Collaborate closely with the marketing team to rapidly follow up on inbound leads and execute targeted product campaigns.

What We Are Looking For

• Education & Experience: graduates (Sales, Marketing, or General Management preferred) with 1–5 years of early, hands-on experience in customer-facing roles (Sales, BD, Customer Success, Support, Consulting, or Relationship Management).
• High Activity Orientation: Exceptional discipline, resilience, and a high-energy volume mindset. You understand that sales success is built on consistent, daily execution.
• Exceptional Communication: Strong verbal and written communication skills with the ability to confidently pitch to international B2B software leaders.
• AI & Tech Curiosity: A genuine interest in how artificial intelligence, LLMs, and modern automation are transforming traditional Go-To-Market systems.
• Thrive in Fast-Paced Environments: Comfortable operating in a highly performance-driven, rapid startup environment where you learn by doing.

Why Join Highperformr.ai

• Unrivaled Support Structure: You won't be left to "figure it out alone." You will be equipped with state-of-the-art outreach tools, AI-powered automation, and dedicated GTM engineers who generate and enrich your lists so you can focus entirely on closing deals.
• Founder Mentorship: Work and learn directly under founders who have built global SaaS giants.
• Full-Stack Learning: Master end-to-end B2B SaaS sales from prospecting to closing, rather than being siloed into just lead generation.
• Clear Growth Track: A structured onboarding process with continuous coaching leading into clear paths for Senior Sales, Account Executive, or GTM leadership roles.

• Strong Enterprise account executive / Enterprise sales executive Profile with focus on Global Markets
• Mandatory (Experience 1): Must have 3+ years of experience in B2B Tech / SaaS sales.
• Mandatory (Experience 2): Must have had annual sales quotas of $250K+ with average deal sizes of $20K+
• Mandatory (Experience 3): Must have experience working in global markets (APAC / US / UK or similar), India & Middle East–only experience is not acceptable.
• Mandatory (Compensation): Candidate's Total CTC should be above 30L (Fixed+Variable)
• Mandatory (Company): Must be from a B2B SaaS Product Company

Hiring for a funded fintech startup based out of Bangalore!!!

Our Ideal Candidate

We are looking for a Senior DevOps engineer to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on-premise deployments.

Requirements

• 5-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
• Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
• Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
• Experience with middle-layer technologies including web servers (httpd, ningx), application servers (Jboss, Tomcat) and database systems (postgres, mysql)
• Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
• Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
• Experience supporting on-premise solutions as well as on AWS cloud
• Experience working with and supporting Spark-based applications on YARN
• Experience with one or more automation tools such as Ansible, Teraform, etc
• Experience working with CI/CD tools like Jenkins and various test report and coverage plugins
• Experience defining and automating the build, versioning and release processes for complex enterprise products
• Experience supporting clients remotely and on-site
• Experience working with and supporting Java- and Python-based tech stacks would be a plus

Desired Non-technical Requirements

• Very strong communication skills both written and verbal
• Strong desire to work with start-ups
• Must be a team player

Job Perks

• Attractive variable compensation package
• Flexible working hours – everything is results-oriented
• Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning

• Deep understanding of technologies and architecture for a scalable and highly available set-up
• Experienced in Java/Golang and related Technologies like Spring/Hibernate
• Strong networking and Operating Systems fundamentals
• Experienced in Streaming technologies like Kafka
• Experience working with SQL and NoSQL Databases
• Experienced in developing the long-term tech strategy for analytics and translate that into an achievable roadmap