Inside Sales

About Us

At Tequity, we specialize in end-to-end product development, delivering insightful research, user-centric design, and scalable engineering solutions. Our dedicated team of product managers, designers, and engineers work collaboratively to ensure your business achieves its goals.

Job Description

We are seeking a skilled Senior QA engineer to join our team. In this role, you will be responsible for working with development teams and product managers to test software solutions.

Roles and Responsibilities:

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback.
• Collaborate with internal teams (e.g. developers and product managers) to identify system requirements.​
• Create detailed, comprehensive and well-structured test plans and test cases.
• Setup testing SoPs to ensure catch 95% of all bugs before it reaches the clients in the first 6 months.
• Hire and train at least 3 QA engineers in the first 6 months.
• Leverage LLMs (gen-AI) to set-up testing pipeline to increase basic testing productivity by 50% in the first 6 months.
• Track quality assurance metrics, like defect densities and open defect counts.
• Stay up-to-date with new testing tools and test strategies.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• 5+ years of experience as a software QA engineer.
• Should have led multiple teams and have worked on large scale projects.
• Strong knowledge of software QA methodologies, tools and processes.
• Hands-on experience with both white box, black box testing and automated testing tools.
• Solid knowledge of SQL and scripting.
• Experience working in an Agile/Scrum development process.

Benefits

• Competitive salary and benefits.
• Opportunities for professional growth and development.
• A dynamic and inclusive work environment.

Research and contact potential Blockchain and Crypto Projects Developers to consult and set up partnership meetings for consultancy and services introduction.

Understand business models and be able to analyze and consult

actively managing customer requests for quotes

Creating and delivering pitches that are compelling, accurate, informative & reflective of customer needs. Developing, nurturing & maintaining relationships with key clients

The self-generation of commercial leads through proactive communications

Coordinating sales efforts with team members and other departments regarding effective delivery solutions

About You:

Experience, have basic knowledge and show interest in the blockchain industry.

A consultative sales approach. Ability to listen to a customer's concerns and build a solution to address their concerns.

Ability to talk about the benefits rather than the features of a product or service.

Experience in selling a premium service and therefore possess an understanding of how to talk to our position in the market and price point.

Highly motivated and the target is driven with a proven track record in commercial sales

Experience in leveraging LinkedIn to prospect, connect and develop a pipeline of opportunities.

Effective time management skills in a bustling environment and the ability to work to deadlines.

Key Responsibilities:

- Actively seek out new sales opportunities through cold calling, networking, and social media

- Set up meetings with potential clients and pitch them to take PlanetSpark trial classes

- Negotiate and close deals, while providing exceptional customer service

- Follow and achieve department's sales goals on a monthly, quarterly, and yearly basis.

As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth.

Roles and Responsibilities:

• Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals.
• Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities.
• Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates.
• Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness.
• Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies.
• Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices.
• Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics.

Requirements:

• Prior experience in marketing automation or digital marketing for a high-growth B2B technology business.
• Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools.
• Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc.
• Strategic mindset to help the business achieve long-term customer acquisition and retention goals.
• Proven ability to translate complex data into actionable insights for stakeholders.
• Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment.
• Comfortable working under tight deadlines and strong attention to detail.
• Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects.
• Knowledge of GDPR, PECR, and other relevant privacy regulations.

Responsibilities

• Our Site reliability engineers work on improving the availability, scalability, performance, and reliability of enterprise production services for our products as well as our customer’s data lake environments.
• You will use your expertise to improve the reliability and performance of Hadoop Data lake clusters and data management services. Just as our products, our SRE are expected to be platform and vendor-agnostic when it comes to implementing, stabilizing, and tuning Hadoop ecosystems.
• You’d be required to provide implementation guidance, best practices framework, and technical thought leadership to our customers for their Hadoop Data lake implementation and migration initiatives.
• You need to be 100% hand-on and as a required test, monitor, administer, and operate multiple Data lake clusters across data centers.
• Troubleshoot issues across the entire stack - hardware, software, application, and network.
• Dive into problems with an eye to both immediate remediations as well as the follow-through changes and automation that will prevent future occurrences.
• Must demonstrate exceptional troubleshooting and strong architectural skills and clearly and effectively describe this in both a verbal and written format.

Requirements

• Customer-focused, Self-driven, and Motivated with a strong work ethic and a passion for problem-solving.
• 4+ years of designing, implementing, tuning, and managing services in a distributed, enterprise-scale on-premise and public/private cloud environment.
• Familiarity with infrastructure management and operations lifecycle concepts and ecosystem.
• Hadoop cluster design, Implementation, management and performance tuning experience with HDFS, YARN,
• HIVE/IMPALA, SPARK, Kerberos and related Hadoop technologies are a must.
• Must have strong SQL/HQL query troubleshooting and tuning skills on Hive/HBase.
• Must have a strong capacity planning experience for Hadoop ecosystems/data lakes.
• Good to have hands-on experience with – KAFKA, RANGER/SENTRY, NiFi, Ambari, Cloudera Manager, and HBASE.
• Good to have data modeling, data engineering, and data security experience within the Hadoop ecosystem.Good to have deep JVM/Java debugging and tuning skills.