Accounts Executive

About Us

Enbraun Technologies is the team behind eResource Scheduler, a global B2B SaaS product for workforce and project resource management. Our platform helps organizations plan work smarter, allocate resources efficiently, and improve productivity through better scheduling and capacity planning.

We are focused on building simple, powerful products that solve real operational challenges for businesses worldwide.

Profile

We're looking for a hands-on Digital Marketing Manager with 5–8 years of B2B SaaS experience who can:

• Own end-to-end digital marketing (paid ads, SEO, content, email)
• Drive qualified leads and revenue, not just traffic
• Use AI tools and modern marketing tactics to stay ahead
• Lead and mentor a small marketing team (3–6 people)

Responsibilities

1) Performance Marketing

• Run and optimize Google Ads, LinkedIn Ads, and Meta campaigns
• Improve CAC, CPL, and ROI across all paid channels
• Build ABM campaigns for enterprise prospects

2) SEO & Content

• Lead AI-powered SEO using ChatGPT, Surfer SEO, or similar tools
• Create content strategies around high-intent keywords
• Optimize technical SEO and improve organic rankings

3) Lead Generation & Funnel Optimization

• Drive demand generation and qualified pipeline (MQLs → SQLs)
• Improve conversion rates across landing pages, forms, and nurture flows
• Run experiments to optimize the buyer journey

4) Analytics & Reporting

• Track performance using GA4, HubSpot/CRM, and dashboards
• Analyze funnel metrics and channel ROI
• Make data-driven decisions on budget and strategy

5) Team Leadership

• Manage and mentor 3–6 marketers
• Set clear goals and hold the team accountable
• Build a culture of experimentation and learning

Requirements

• 5–8 years in digital marketing (B2B SaaS preferred)
• Proven success with Google Ads and LinkedIn Ads
• Strong SEO skills (Ahrefs, SEMrush, Search Console)
• Experience with AI SEO tools (ChatGPT, Surfer SEO, Clearscope)
• Hands-on with GA4, CRM tools (HubSpot/Salesforce), and marketing automation
• Track record of improving lead quality and reducing CAC
• Experience managing or mentoring a team

Why join us?

• 5-day work week.
• Collaborative, fast-growing team
• Quarterly recognition programs & yearly outings
• Paid leaves and learning opportunities

Job Opening: Field Sales Executive

Join Prizor AITech

About Prizor AITech

Prizor AITech is a fast-growing technology-driven company focused on delivering innovative business solutions and customer-centric services. We are committed to helping businesses grow through smart strategies, strong customer relationships, and innovative solutions.

At Prizor AITech, we value passion, performance, and professional growth.

Position: Field Sales Executive

Location: Ahmedabad

Key Responsibilities

• Generate leads and acquire new clients through field sales activities

• Conduct field visits, client meetings, and presentations

• Build and maintain strong customer relationships

• Achieve sales targets and contribute to business growth

• Identify new market opportunities and potential clients

• Coordinate with internal teams for smooth client onboarding

Preferred Industry Experience Candidates with experience in the following industries will be preferred:

• EdTech

• Hotel Industry

• Strong communication and negotiation skills

• Willingness to travel locally for client meetings

• Prior experience in field sales preferred

• Target-driven and self-motivated attitude

Why Join Prizor AITech?

• Career growth opportunities

• Supportive and dynamic work culture

• Attractive incentives and learning exposure

• Opportunity to work with diverse clients and industries

Required Skills & Qualifications:

● 3+ years of experience in Quality Assurance & Software Testing.

● Strong expertise in JIRA for bug tracking and test management.

● Proficiency in manual testing, including UI, functional, regression, and integration testing.

● Experience in automation testing using Selenium, JMeter, or similar tools (preferred).

● Strong understanding of Agile/Scrum methodologies.

● Hands-on experience with API testing tools like Postman or SoapUI.

● Familiarity with SQL queries for database validation.

● Excellent analytical, troubleshooting, and communication skills.

Requirements:

• Proven experience as an HRBP, preferably in large-scale, fast-paced environments.
• Awareness of key HR metrics like attrition, shrinkage, WFM, etc.
• Strong experience in event management, including planning and executing large-scale events.
• Ability to use technology and digital media to enhance communication effectiveness.
• Proficiency in Microsoft Office tools (Publisher, Word, Excel, PowerPoint, SharePoint, Live Meeting).
• High energy, drive, enthusiasm, initiative, and commitment.
• Excellent communication, influencing, and interpersonal skills with an approachable style.
• Strong judgment, patience, and tact in challenging situations.
• Willingness to work night shifts.

Mandatory Criteria (Can't be neglected during screening) :

• Candidate must have minimum 10 years of experience in Human Resource Management as a DM or Manager, including team management experience and fluent communication skills.
• Candidate must have handled at least 1300 employee headcount.
• Candidate must be at Manager or Deputy Manager level currently (Assistant Manager designation will not be considered).
• Need candidates from BPO, KPO, or BPM industry only.
• Candidate must have strong expertise in Excel (Pivot, VLOOKUP, formulas, MIS reporting etc.)
• Candidate must be comfortable working in evening/UK shifts (5:30 PM – 3:00 AM).
• Candidate should have experience in HR Operations, Recruitment, Payroll, Compliance and conducting new joiner orientations.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

WHAT YOU'LL DO

- Support customers by providing helpful information, answering questions, and responding to complaints.

- Knowledge of how to talk and communicate effectively.

- Think fast and understand situations and come up with the best possible solution.

- First point of contact for photographers, clients and customers majorly through Chats/Emails.

- Quick in responding to Live chats and Inbound Calls

- Work effectively with the team.

WHAT YOU'LL NEED

- 2 to 5 years of experience.

- Comfortable with rotational shifts if needed.

- Telephone ease

- Prior experience in Customer Service - Voice or Semi voice

- Fluent English and excellent communication

- Rigorous, hardworking, but fun

- Challenging & Goal oriented mindset

- Prior experience in customer relationships is a plus.

- Basic French language written and spoken language is a plus.

Recko Inc. is looking for data engineers to join our kick-ass engineering team. We are looking for smart, dynamic individuals to connect all the pieces of the data ecosystem.

What are we looking for:

1. 3+  years of development experience in at least one of MySQL, Oracle, PostgreSQL or MSSQL and experience in working with Big Data technologies like Big Data frameworks/platforms/data stores like Hadoop, HDFS, Spark, Oozie, Hue, EMR, Scala, Hive, Glue, Kerberos etc.

2. Strong experience setting up data warehouses, data modeling, data wrangling and dataflow architecture on the cloud

3. 2+ experience with public cloud services such as AWS, Azure, or GCP and languages like Java/ Python etc

4. 2+ years of development experience in Amazon Redshift, Google Bigquery or Azure data warehouse platforms preferred

5. Knowledge of statistical analysis tools like R, SAS etc 

6. Familiarity with any data visualization software

7. A growth mindset and passionate about building things from the ground up and most importantly, you should be fun to work with

As a data engineer at Recko, you will:

1. Create and maintain optimal data pipeline architecture,

2. Assemble large, complex data sets that meet functional / non-functional business requirements.

3. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

4. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

5. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

6. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

7. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

8. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

9. Work with data and analytics experts to strive for greater functionality in our data systems.

About Recko: 

Recko was founded in 2017 to organise the world’s transactional information and provide intelligent applications to finance and product teams to make sense of the vast amount of data available. With the proliferation of digital transactions over the past two decades, Enterprises, Banks and Financial institutions are finding it difficult to keep a track on the money flowing across their systems. With the Recko Platform, businesses can build, integrate and adapt innovative and complex financial use cases within the organization and  across external payment ecosystems with agility, confidence and at scale.  . Today, customer-obsessed brands such as Deliveroo, Meesho, Grofers, Dunzo, Acommerce, etc use Recko so their finance teams can optimize resources with automation and prioritize growth over repetitive and time-consuming tasks around day-to-day operations. 

Recko is a Series A funded startup, backed by marquee investors like Vertex Ventures, Prime Venture Partners and Locus Ventures. Traditionally enterprise software is always built around functionality. We believe software is an extension of one’s capability, and it should be delightful and fun to use.

Working at Recko: 

We believe that great companies are built by amazing people. At Recko, We are a group of young Engineers, Product Managers, Analysts and Business folks who are on a mission to bring consumer tech DNA to enterprise fintech applications. The current team at Recko is 60+ members strong with stellar experience across fintech, e-commerce, digital domains at companies like Flipkart, PhonePe, Ola Money, Belong, Razorpay, Grofers, Jio, Oracle etc. We are growing aggressively across verticals.

• Working in high paced competitive stock trading environment with core web app development, scripting, data interpretation and manipulation skills
• Designing, creating and maintaining our in-house software for business requirements
• Work on innovative ideas to improve the user experience of our internal systems and applications which are used by the trading teams
• Improve on existing tools to make trade monitoring systems robust and more reliable

Ideal candidate should have:

• Engineering degree in Computer Science (preferred) or any other discipline
• Experience on Python web app development (Preferably Django)
• Ability to work as a full stack developer
• Experience in Shell/Perl or Python scripting
• Prior experience of Linux or Unix based operating systems
• Ability to create automation scripts
• Experience/Knowledge of financial industry
• Ability to work in fast paced environment under pressure and manage multiple high priority projects
• Willingness to learn and work on new technologies
• Excellent communication skills