Channel Sales Executive

Role: Sales Development Representative (SDR) 

Location: Hybrid - 3 days Work from Office (HSR, Bangalore) 

Shift: US Hours (7:30 PM to 3:30 AM IST) 

Salary: 4.5 LPA fixed + incentive (negotiable)

** Only apply if you are in Bangalore, or willing to relocate to Bangalore before Dec 1,2025 **

Our company isn’t another SEO agency. We’re the first ones helping SaaS brands rank inside ChatGPT, Perplexity, and AI search engines. 

We’re looking for a Sales Development Representative (SDR) who’s hungry to win—someone who thrives on conversations, not comfort, and can fill the founder’s calendar with high-intent SaaS leads. 

What You’ll Do: 

● Own top-of-funnel outreach: research, prospect, and qualify leads from our ICP (future-focused SaaS brands). 

● Personalize cold outreach across email, LinkedIn, and calls using our playbooks and tools. 

● Book high intent qualified meetings/month with the founder. 

● Run crisp qualification conversations: you’re not spamming; you’re diagnosing. ● Maintain and update lead data, activity, and notes in CRM tools (we’ll provide systems + training). 

● Collaborate with leadership to refine messaging, identify opportunities, and close the feedback loop fast. 

What You’ll Need: 

● 1-2 years of experience as an SDR or in outbound lead generation for B2B SaaS or agencies. 

● Excellent spoken and written English (you’ll be speaking with US founders).

● Comfort with cold outreach: you’re confident, curious, and unshaken by silence.

● Sharp research instincts and ability to adapt messaging on the fly. 

● Hunger to learn, improve, and grow into a senior sales or partnerships role. 

What You’ll Get: 

● Fixed pay + incentives for every qualified meeting completed. 

● Hands-on exposure to scaling a fast-growing global agency. 

● Direct mentorship from founders: learn outbound systems that actually convert.

● Work with global SaaS brands defining the future of search visibility.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Responsibilities:

• Work as part of a collaborative, agile team to deliver industry-leading engagement capabilities on the web.
• Integrate with other services to help the client seamlessly provide value to more companies.
• Design and develop feature enhancements that continue to deliver value and provide an excellent customer experience.
• Troubleshoot and resolve emergency server or code issues at any stack level.

Requirements:

• Ability to empathize with end-users; build with scale and ease of adoption in mind.
• Experience building in an agile setting with code reviews and quality as a priority.
• Strong design skills for separation and modularity of code; aversion to overly complex, spaghetti code.
• A bachelor's degree in Computer Science, related technical field, or commensurate experience.
• 3 years experience in production web application development.
• 5 years of experience working with NodeJS or an equivalent web framework and language.
• Experience writing JavaScript code, either vanilla JS or using a framework such as Node.js or React, or Redux.
• Unit testing experience (Jest).
• 3rd-party API usage and integration experience.
• RDBMS usage (e. g., MySQL, PostgreSQL).

Interview Process:

• Introductory Round
• Technical Round - Algo/low level coding round based on real world scenario
• Technical Round - System Design or High level design coding round and AWS
• Offer discussion

We are seeking a graphic design intern to join our creative team. The graphic design intern will work closely with our creative team to produce innovative designs for our company's marketing initiatives. The ideal candidate should be creative, have an eye for detail, and be able to work independently.

• Design various creative materials such as logos, brochures, and other marketing materials as needed
• Work closely with the creative team to brainstorm ideas and concepts for designs
• Collaborate with the creative team to develop a cohesive look and feel for marketing materials
• Stay up to date on trends in graphic design
• Assist in establishing brand guidelines and standards
• Prepare artwork for printing
• Assist in web designing

• Conceive and implement concepts, guidelines and strategies in various creative projects and oversee them to completion
• Collaborate with account executives to obtain knowledge of the clients’ requirements
• Direct and motivate teams of art directors, illustrators, copywriters etc. to help them use their talents effectively
• Lead brainstorming/creative sessions to generate ideas
• Write and design unique and well-crafted copy that meet clients’ needs as well as our own
• Revise content and presentations, approve/reject ideas, provide feedback to the team
• Train and guide subordinates into accomplished professionals
• Monitor results of team efforts and propose actions for the future

What Arcana (previously Newfang) Does:

Arcana is The Storage Layer for Ethereum with a Privacy Stack for developers to build secure and privacy preserving apps. Users care about privacy now more than ever before and it is becoming a first-class citizen in the modern development stack. Arcana makes it easier for apps to be privacy-focused out of the box.

With Arcana’s privacy stack, developers give control of data back to their users. They can easily integrate our SDK with their apps and use our modular feature blocks for Authentication, Identity Management, Encryption, Access Control, and Decentralized Storage. All of which are secured by and verifiable on the blockchain.

Visit http://www.arcana.network/">www.arcana.network to learn more about us, our backers, and our offerings

Role:

As the first QA hire at arcana, you will be responsible for setting up testing frameworks and leading QA for all our products and releases

Responsibilities:

• Design and develop a QA framework. Automate parts of the framework wherever feasible.
• Develop and implement test cases, scripts, plans, and procedures (manual and automated)
• Track key QA metrics for product and maintain a process for logging bugs/issues and debugging them.
• Handle QA validations of UI, backend APIs, databases, SDK, and Performance.

Skill Set Required:

• A degree in Computer Science or equivalent
• 2+ years experience in a testing role at a platform/infrastructure software company
• Demonstrable Experience in using UI automation frameworks like Selenium, Appium, etc. and automated API testing using tools like Postman or similar.
• Experience in Web testing, API testing, Mobile testing, and performance, security and usability testing
• Familiarity with test cycles (Unit, Regression, Functional, Systems, Stress & Scale, Smoke & Sanity)

Bonus:

• Familiarity with blockchain technology and distributed system design
• Experience with Solidity smart contract testing
• Prior software engineering experience
• Handled QA for open source projects

Role : DevOps Engineer 

Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)

Location : Bangalore. 5 Days Working.

Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes 

Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to  work on, helping to enhance our product performance and reliability. 

Responsibilities: 

• Build & operate infrastructure to support website, backed cluster, ML projects in the  organization. 
• Helping teams become more autonomous and allowing the Operation team to focus on  improving the infrastructure and optimizing processes. 
• Delivering system management tooling to the engineering teams. 
• Working on your own applications which will be used internally. 
• Contributing to open source projects that we are using (or that we may start). 
• Be an advocate for engineering best practices in and out of the company. 
• Organizing tech talks and participating in meetups and representing Box8 at industry  events. 
• Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous  Integration/Delivery/Deployment (CI/CD) practices. 

Requirements: 

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing  amounts of traffic and new product requirements. 
• Ruby On Rails or Python and Bash/Shell skills. 
• Experience managing complex systems at scale. 
• Experience with Docker, rkt or similar container engine. 
• Experience with Kubernetes or similar clustering solutions. 
• Experience with tools such as Ansible or Chef Understanding of the importance of smart  metrics and alerting. 
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are  on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch). 
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers. 
• Managing large scale production grade infrastructure on AWS Cloud. 
• Good Knowledge on scripting languages like ruby, python or bash. 
• Experience in creating in deployment pipeline from scratch. 
• Expertise in any of the CI tools, preferably Jenkins. 
• Good knowledge of docker containers and its usage. 
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu. 

Good to have: 

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka,  Elasticsearch.