Sales Manager

About Rekise Marine

Rekise Marine is a startup focused on sustainably enhancing the utility of oceans through autonomous robotic infrastructure. Our efforts center on developing advanced autonomous technology for the maritime industry, serving both defense and commercial sectors globally. We specialize in creating autonomous vessels both surface and underwater as well as autonomous port infrastructure. Currently, we are building the flagship autonomous platform of the Indian Navy.

Key Responsibilities

* Develop AI/ML pipelines for sonar/LiDAR/Radar and camera-based perception.

* Design multi-sensor fusion frameworks for obstacle detection, seabed mapping, and environmental awareness.

* Implement real-time object detection, segmentation, and tracking for underwater missions.

* Enhance robustness of perception under low-light, turbidity, and noisy acoustic conditions.

* Apply model optimization techniques (quantization, pruning, distillation, real-time deployment tuning) to ensure efficiency on embedded and resource-constrained systems.

Preferred Skills

* Experience with deep learning frameworks (PyTorch/TensorFlow).

* Strong knowledge of signal processing, computer vision, and sensor fusion.

* Proficiency in GPU acceleration, C++/Python, ROS/ROS2.

* Track record of published research or field deployments in underwater perception.

* Demonstrable full stack experience with ML based perception (data collection, annotation, training & edge inference).

Good to Have

* Publications in top-tier robotics/AI conferences or journals (e.g., ICRA, IROS, ICAR, CVPR, ICCV, NeurIPS).

* Hands-on experience with real-world Autonomous Systems (AGV/AUV/UAV), field trials, and deployments.

Why You’ll Love Working With Us

A chance to be part of a leading marine robotics startup in India.

Competitive salary.

Flexible and innovative work environment promoting collaboration.

A role where your contributions make a real difference and drive impact.

Opportunities for travel in relation to customer interactions and field testing

Job Title: Taleo Techno Functional Consultant

Primary Module: Taleo Recruiting

Job Summary:

We are looking for an experienced Taleo Techno Functional Consultant with strong expertise in Taleo Recruiting, configuration, integrations, and automation. The ideal candidate should have hands-on experience in TCC scripting, OLF structure, Dynamic Approval Routing, onboarding transitions, and security configurations across Taleo modules.

Key Responsibilities:

1. Technical Configuration & Integration

• Develop and manage TCC (Taleo Connect Client) scripts.
• Configure Net Change operations and complex Import/Export filters.
• Work with Requisition and Candidate file structures.
• Support integrations and data migration activities.

2. OLF & Contextualization

• Design and maintain OLF (Organization, Location, Job Field) structure.
• Configure contextualization based on OLF.
• Manage SmartOrg, User Types, and access control.
• Implement security configurations aligned with OLF structure.

3. Approvals & Automation

• Configure Dynamic Approval Routing (DAR) and DAR matrix.
• Manage Offer Approval workflows.
• Set up automated tasks, onboarding triggers, and candidate progression rules.

4. Taleo Recruiting Functional Expertise

• Manage requisition creation, templates, and approvals.
• Handle candidate lifecycle and CSW (Candidate Selection Workflow).
• Configure Career Sections (Internal & External).
• Design Offer Letter templates and List Formats.
• Configure and manage UDFs (User-Defined Fields).
• Implement data purge rules and compliance requirements.

5. Onboarding & Transitions

• Configure onboarding types and transitions processes.
• Manage task orchestration and workflow automation.

6. Taleo Social Sourcing (TSS)

• Setup and configure TSS module.
• Manage sourcing workflows, user roles, and engagement processes.

7. Security & Access Management

• Configure User Types, permissions, and role-based access.
• Manage cross-module security integrations (Recruiting, Onboarding, TSS).
• Maintain SmartOrg access configurations.

Required Skills:

• Strong experience in Taleo Recruiting (Techno-Functional).
• Hands-on expertise in TCC, DAR, OLF structure, SmartOrg.
• Experience in onboarding transitions and workflow automation.
• Good understanding of data compliance and purge rules.
• Strong stakeholder communication skills.

Experience:

• 5

This is a full-time on-site role for a Marketing Strategist at PRODBIZ SOLUTIONS PVT LTD located in Hyderabad. The Marketing Strategist will be responsible for market research, developing marketing strategies, conducting research, and communication tasks on a day-to-day basis.

Responsibilities: 

• Collaborate with internal stakeholders to set communications calendar, creative strategy, and content promotions
• Build customers segments and communication campaigns along customer journeys
• Set, track, and improve key metrics within SMS, email, in-app message and push notification channels
• Identify opportunities to increase retention and lifetime value; plan, direct, and execute marketing programs that achieve those goals
• Plan, implement and track A/B and multivariate tests for transactional, triggered, and marketing mailings Code, test, and implement marketing promotions and campaigns
• Lead efforts for cross-promotion and marketing of new Zolve products across applicable audiences
• Stay current with industry innovations, trends, and best practices across functional areas
• Ensure customer data policies and Zolve's privacy policy are enforced

Requirements: 

• 2-5 years of relevant work experience ideally in a fintech/payments/E-commerce/ tech environment with strong growth and analytics background
• 2+ years experience in maintenance & management of CRM platforms (customer.io //CleverTap experience is a bonus)
• MBA or equivalent post-graduation, with at least two years of experience in digital marketing in B2C company 
• Strong understanding of advertising tools like AdWords, Facebook Business Manager, Adobe AdCloud. 
• Experience with/understand fundamentals of brand building and marketing i.e. audience mapping, positioning, media planning/media mix etc. 
• Excellent written and verbal communication skills 
• Prior startup experience is a plus

The location is Bangalore

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Job Description : We are looking for field Sales/ Marketing representative to develop sales strategies and should be having experience in field sales related software Product or Fresher also can apply. The successful salesperson will source new sales opportunities and close sales to achieve quotas.

Preferring both Male/ Female Candidate

Responsibilities and Duties

• Cold calling and generating new leads and business opportunities by identifying prospective companies
• Be creative and implement activities to contact new customers and generate new business.
• Take 100% ownership of building and creating your own pipeline.
• Follow up with new & existing leads

Required Experience, Skills and Qualifications

Presentation Skills, Good communication skills, Client Relationships, Energy Level, Negotiation, Prospecting Skills, Meeting Sales Goals, Creativity, Sales Planning, Independence, Motivation for Sales and persuasion.