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About GeniWay

GeniWay Technologies is building AI-powered products that help students learn effectively and make confident education and career decisions.

Our first product, Clario, combines multidimensional student assessment, career intelligence, personalized guidance, and AI-assisted counselling for Indian students and families.

With Clario’s initial platform nearing completion, our next major ambition is to build an AI-powered personalized learning platform that adapts learning experiences to each student’s knowledge, goals, learning patterns, motivation, and progress.

We are looking for an AI-native engineering leader to help turn this ambition into a trusted, scalable product.

The Opportunity

We are hiring a Founding AI Engineering Lead, CTO Track to become GeniWay’s full-time technical operating leader.

Your primary mandate will be to lead the engineering of our AI-powered personalized learning platform. You will also own the continued evolution, reliability, and scale-readiness of Clario.

This is not a conventional engineering management role or a role limited to integrating third-party AI APIs. It requires someone who can combine:

• deep applied-AI expertise;
• strong product and architectural judgment;
• hands-on full-stack engineering;
• engineering-team leadership; and
• responsible deployment of AI for students.

For an exceptional leader who demonstrates sustained company-level technology leadership, this role offers a credible pathway toward becoming GeniWay’s future CTO.

What You Will Build

The personalized learning platform is expected to progressively support:

• continuously evolving learner profiles;
• personalized learning pathways and interventions;
• adaptive content, practice, and assessments;
• AI tutors, mentors, and learning companions;
• multi-agent workflows for learning support and content operations;
• student progress, mastery, and engagement intelligence;
• evidence-grounded recommendations for students, parents, and educators;
• responsible human oversight, safety, and explainability.

You will help define the architecture, technical strategy, and delivery roadmap required to build these capabilities responsibly.

What You Will Own

AI Product and Platform Engineering

• Own the architecture and engineering of GeniWay’s personalized learning platform.
• Translate learning-product concepts into reliable AI-powered experiences.
• Design and build GenAI, agentic-AI, and ML-enabled workflows.
• Determine when to use LLMs, deterministic logic, retrieval, conventional ML, or human review.
• Build reusable AI-platform capabilities instead of isolated prompt-based features.
• Lead experimentation, evaluation, production deployment, and continuous improvement of AI capabilities.

Applied AI Quality and Safety

• Establish evaluation frameworks for accuracy, relevance, personalization, consistency, latency, and cost.
• Design safeguards against hallucinations, unsafe guidance, bias, prompt injection, and inappropriate student interactions.
• Build observability and feedback loops for AI behaviour in production.
• Ensure student-facing AI systems are explainable, privacy-conscious, age-appropriate, and human-supervised where required.
• Work with product and domain specialists to validate educational usefulness, not merely technical performance.

Product Engineering and Delivery

• Own end-to-end engineering delivery across AI, backend, frontend, data, and infrastructure.
• Lead or personally implement critical product capabilities when required.
• Establish predictable planning, development, testing, release, and incident-management practices.
• Scale and strengthen Clario while building the next product platform.
• Balance speed, product quality, maintainability, scalability, and operating cost.

Architecture and Data Foundations

• Define and evolve the application, AI, data, and cloud architecture.
• Build secure foundations for learner profiles, content intelligence, personalization, and analytics.
• Establish effective data pipelines, model interfaces, APIs, and platform services.
• Make pragmatic build-versus-buy and model-selection decisions.
• Reduce technical debt and material technology risks systematically.

Team and Technology Leadership

• Lead, mentor, and raise the effectiveness of the engineering team.
• Build strong AI and software-engineering practices across the organization.
• Help recruit future AI, data, and product engineers.
• Work closely with the Founder on product strategy, priorities, and technology investments.
• Develop GeniWay’s longer-term technology strategy and engineering organization.

Essential Capabilities

• Strong hands-on experience building and operating AI-powered products in production.
• Deep practical understanding of GenAI application architecture, LLM behaviour, prompting, context engineering, and structured outputs.
• Experience building agentic or multi-step AI workflows with appropriate controls and observability.
• Experience with retrieval-augmented generation, embeddings, semantic search, or knowledge systems.
• Ability to evaluate AI quality systematically rather than relying on subjective demonstrations.
• Strong Python, backend, API, database, and system-design capabilities.
• Ability to lead full-stack product engineering beyond the AI layer.
• Experience leading engineers and owning complex product delivery.
• Strong product judgment and ability to translate ambiguous goals into executable plans.
• High ownership, urgency, reliability, and transparent communication.

Strongly Preferred

• Experience building personalization, recommendation, adaptive-learning, tutoring, or conversational-AI products.
• Practical AI/ML experience involving experimentation, feature engineering, model evaluation, or predictive systems.
• Experience with LLMOps or MLOps, including evaluation, monitoring, versioning, and deployment.
• Experience designing AI guardrails and responsible student-facing systems.
• Experience as a founding engineer, technical lead, or early engineering leader.
• Experience building AI-native products from zero to one.
• Interest in learning science, education, and student outcomes.

What We Are Not Looking For

• A pure people manager who is no longer technically hands-on.
• A research-only AI specialist without strong product-engineering capability.
• Someone whose GenAI experience is limited to basic chatbot or API integrations.
• A generalist engineering leader with little evidence of applied-AI delivery.
• An advisor seeking influence without full-time operating accountability.

What Success Looks Like

First 90 Days

• Take operational ownership of GeniWay’s engineering function.
• Understand and strengthen Clario’s architecture, quality, and scale-readiness.
• Define the technical architecture and phased roadmap for the personalized learning platform.
• Establish AI evaluation, safety, engineering-quality, and release practices.
• Improve team accountability, execution rhythm, and delivery predictability.

First 6-9 Months

• Deliver the first meaningful version of the personalized learning platform.
• Establish reusable foundations for learner modelling, personalization, AI agents, evaluation, and observability.
• Demonstrate measurable educational and product value from AI capabilities.
• Build a dependable engineering and AI delivery organization.
• Demonstrate readiness for broader CTO-level responsibility.

Compensation and Growth

• Fixed compensation: ₹20L–₹25L per annum, based on capability and experience
• Performance-linked variable: Up to 15%–20%, tied to agreed outcomes
• Initial ESOP grant: Approximately 0.75%–1.25%, based on fit and expected ownership
• Leadership equity top-up: Potential additional 0.5%–1% after 12–18 months, based on sustained contribution and evolution toward CTO-level responsibility
• Leadership review: Formal assessment after six months, followed by a broader role and compensation review after 12 months

The CTO pathway is earned through demonstrated technology strategy, AI-product leadership, organizational impact, and company-level ownership.

Selected candidates will complete structured discussions covering applied-AI depth, architecture, hands-on engineering, product judgment, responsible AI, leadership approach, and long-term alignment.

About the company

Metron Security provides automation and integration services to leading Cyber Security companies. Our engineering team works on leading security platforms including - Splunk, IBM’s QRadar, ServiceNow, Crowdstrike, Cybereason, and other SIEM and SOAR platforms. 

Software Engineer is a challenging role within Cyber Security Engineering integration development. The role involves developing a product/service that achieves high-performance data exchange between two or more Cyber Security platforms. A Software Engineer is at the core of the evolution process and is responsible for the End-to-End delivery of the project, right from getting the requirements from customers to deploying the project for them on-prem or on the cloud, depending on the nature of the project. We follow the best practices of engineering and keep evolving. We are agile. 

Each integration needs reskilling yourself with the required technology for that project. If you are passionate about programming and believe in the best practices of software engineering, the following are the skills we are looking for: 

● Developer-centric culture - No bureaucracy or red tape. 

● Chance to work on 200+ security platforms. 

● Opportunity to engage with end-users (customers) and just a cog in the wheel.

About the role

We are looking for passionate developers with 4-7 years of experience in software development to join the Metron Security team as Software Engineers. 

Mandatory Skills 

• 4+ years of experience in software engineering, with a proven track record of leading engineering teams and mentoring junior developers. 
• Expertise in at least one or two Object-Oriented Programming language (Python, typescript, Java,Node.js,Angular, react.js C#, C++) . 
• Good knowledge of Data Structure and its correct usage. 
• Oversee code reviews, ensuring adherence to best practices and maintaining high code quality standards. 
• Imbibe and maintain a strong customer delight attitude while designing and building products/services.

Other Requirements 

• Open to learn any new software development skill if needed for the project.
• Alignment and utilisation of the core enterprise technology stacks and integration capabilities throughout the transition states. 
• Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives. 
• Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them. 
• Good knowledge of the implications of Cyber Security on production.
• Experience in architecting & estimating deep technical custom solutions & integrations. 
• Manage the customer to ensure we have a continuous flow of work from them so that the team has enough work for at least a month. 
• Mentor and coach team members, providing technical guidance and fostering professional development. 

Added advantage: 

• Experience in the Cyber Security domain.
• Experience in developing software using web technologies. 
• Experience in handling a project from start to end. 
• Hands-on experience in an Agile Development project and in writing and estimating User Stories. 
• Contribution to open source - Please share your link in the application/resume if any.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

The Role

We are looking for a Azure Data Architect to join our team in Pune. You will be responsible for the end-to-end lifecycle of data solutions, from initial client requirement gathering and solution architecture design to leading the data engineering team through implementation. You will be the technical anchor for the project, ensuring that our data estates are scalable, governed, and high-performing.

Key Responsibilities

• Architecture & Design: Design robust data architectures using Microsoft Fabric and Azure Synapse, focusing on Medallion architecture and metadata-driven frameworks.
• End-to-End Delivery: Translate complex client business requirements into technical roadmaps and lead the team to deliver them on time.
• Data Governance: Implement and manage enterprise-grade governance, data discovery, and lineage using Microsoft Purview.
• Team Leadership: Act as the technical lead for the team, performing code reviews, mentoring junior engineers, and ensuring best practices in PySpark and SQL.
• Client Management: Interface directly with stakeholders to define project scope and provide technical consultancy.

What We’re Looking For

• 6+ Years in Data Engineering with at least 3+ years leading technical teams or designing architectures.
• Expertise in Microsoft Fabric/Synapse: Deep experience with Lakehouses, Warehouses, and Spark-based processing.
• Governance Specialist: Proven experience implementing Microsoft Purview for data cataloging, sensitivity labeling, and lineage.
• Technical Breadth: Strong proficiency in PySpark, SQL, and Data Factory. Familiarity with Infrastructure as Code (Bicep/Terraform) is a major plus.

Why Work with Us?

• Competitive Pay
• Flexible Hours
• Work on Microsoft’s latest (Fabric, Purview, Foundry) as a Designated Solutions Partner.
• High-Stakes Impact: Solve complex, client-facing problems for enterprise leaders
• Structured learning paths to help you master AI automation and Agentic AI.

Location: Baner, Pune.

Experience Level: 8+ Yrs.

Experience Level: UK Shift (1:00 PM – 10:00 PM)

Key Skills & Responsibilities:

• Lead the design, configuration, and implementation of SAP modules (e.g., MM, SD)

based on business requirements.

• Collaborate with business stakeholders to gather, analyze, and document functional

requirements.

• Strong functional expertise in SAP MM, and SD modules with focus on invoice

processing, tax configuration, and statutory reporting.

• Translate business needs into SAP solutions through process mapping and best practice

recommendations.

• Oversee the development of functional specifications for RICEFW objects (Reports,

Interfaces, Conversions, Enhancements, Forms, Workflows).

• Work with business stakeholders to understand statutory and good to have E-invoicing

knowledge

• Map business requirements to SAP functionalities, primarily within MM, and SD

modules.

• Coordinate with ABAP and middleware teams for API integration between SAP and

the government’s e-invoice/GST portal or third-party providers.

• In-depth knowledge of IDoc processing, troubleshooting, and interface management.

• Good understanding of API-based integrations between SAP and government/third-

party systems

• Excellent in preparing documentation (FS, TS, UAT scripts), and support go-live

activities.

• Manage change requests, issue resolution, and enhancements post-implementation.

• Provide functional guidance to junior consultants and coordinate across cross-functional

SAP teams.

• Prepare and present project status reports to management and stakeholders.

Job Title: Java Engineering Manager/Lead

Experience range:- 10 + Years

Location:- Pune / Mumbai

Knowledge and Skills:

• Strong proficiency in Core Java, Spring Boot.
• Experience with RESTful APIs, microservices, and multithreading.
• Solid understanding of RDBMS (MySQL/PostgreSQL).
• Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD tools like Jenkins, GitLab, or GitHub Actions.
• Background in Fintech, particularly Digital Lending, Supply Chain Finance, or Banking products.
• Experience working in agile/scrum environments.
• At least 3 years of experience leading/managing a team of Java developers.

Key Responsibilities:

• Lead and mentor a team of Java developers, ensuring technical excellence and timely delivery.
• Actively participate in coding, code reviews, architecture decisions, and system design.
• Collaborate with cross-functional teams including Product Managers, QA, and DevOps.
• Maintain a strong hands-on presence in backend Java development and microservices architecture.
• Own the end-to-end lifecycle of features from requirement to deployment and post-release support

Job Title : Lead Java Developer (Backend)

Experience Required : 8 to 15 Years

Open Positions : 5

Location : Any major metro city (Bengaluru, Pune, Chennai, Kolkata, Hyderabad)

Work Mode : Open to Remote / Hybrid / Onsite

Notice Period : Immediate Joiner/30 Days or Less

About the Role :

• We are looking for experienced Lead Java Developers who bring not only strong backend development skills but also a product-oriented mindset and leadership capability.
• This is an opportunity to be part of high-impact digital transformation initiatives that go beyond writing code—you’ll help shape future-ready platforms and drive meaningful change.
• This role is embedded within a forward-thinking digital engineering team that thrives on co-innovation, lean delivery, and end-to-end ownership of platforms and products.

Key Responsibilities :

• Design, develop, and implement scalable backend systems using Java and Spring Boot.
• Collaborate with product managers, designers, and engineers to build intuitive and reliable digital products.
• Advocate and implement engineering best practices : SOLID principles, OOP, clean code, CI/CD, TDD/BDD.
• Lead Agile-based development cycles with a focus on speed, quality, and customer outcomes.
• Guide and mentor team members, fostering technical excellence and ownership.
• Utilize cloud platforms and DevOps tools to ensure performance and reliability of applications.

What We’re Looking For :

• Proven experience in Java backend development (Spring Boot, Microservices).
• 8+ Years of hands-on engineering experience with at least 2+ years in a Lead role.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Good understanding of containerization and orchestration tools like Docker and Kubernetes.
• Exposure to DevOps and Infrastructure as Code practices.
• Strong problem-solving skills and the ability to design solutions from first principles.
• Prior experience in product-based or startup environments is a big plus.

Ideal Candidate Profile :

• A tech enthusiast with a passion for clean code and scalable architecture.
• Someone who thrives in collaborative, transparent, and feedback-driven environments.
• A leader who takes ownership beyond individual deliverables to drive overall team and project success.

Interview Process

1. Initial Technical Screening (via platform partner)
2. Technical Interview with Engineering Team
3. Client-facing Final Round

Additional Info :

• Targeting profiles from product/startup backgrounds.
• Strong preference for candidates with under 1 month of notice period.
• Interviews will be fast-tracked for qualified profiles.

🚀 Job Opportunity: Sales & Operations Executive 📢

We are looking for a proactive Sales & Operations Executive to drive business growth through sales, vendor management, inventory control, event coordination, and school partnerships. If you have strong negotiation skills, sales expertise, and experience handling tenders and logistics.💼

🔹 Key Responsibilities:

🔸 Sales & Business Development:

• Identify & engage potential clients (schools & educational institutions) 🎯
• Develop and implement sales strategies to boost revenue 📈
• Maintain strong client relationships & ensure repeat business 🤝
• Follow up on leads & close deals 💰
• Perform cold calling to generate leads 📞

🔸 Vendor & Procurement Management:

• Source, negotiate, and manage vendors for book printing & procurement 📚
• Ensure cost-effective purchasing with quality & timely delivery⏳✅

🔸 Event & Fair Sales Management:

• Plan & execute book fairs, exhibitions, and educational events 🎪
• Oversee stall setup, visitor engagement, and sales operations🏷️
• Manage event logistics & promotional materials 📦

🔸 School & Field Sales Visits:

• Conduct school visits to build partnerships & promote offerings 🏫
• Present & demonstrate Bynaric Systems' products to educators 👩‍🏫

🔸 Inventory & Logistics Coordination:

• Maintain accurate inventory records 📊
• Coordinate logistics for timely deliveries 🚚

📊 Key Performance Indicators (KPIs):

✅ Sales Growth: Achieve revenue targets

✅ Client Acquisition: Increase school partnerships

✅ Event Success: Sales impact from fairs & exhibitions

✅ Tender Wins: Secure contracts

✅ Inventory Accuracy: Efficient stock management

✅ Customer Satisfaction: Positive client feedback

✅ Operational Efficiency: Timely execution of tasks

✨ Key Competencies Required:

✔️ Strong sales & negotiation skills

✔️ Excellent communication & relationship-building abilities

✔️ Event planning expertise

✔️ Inventory & logistics management knowledge

✔️ Understanding of tendering processes

✔️ Problem-solving mindset & adaptability for fieldwork

🌐 Company Websites:

Bynaric Systems: www.bynaric.com

SapienKid: www.sapienkid.com

📩 How to Apply:

Interested candidates can apply by sending their updated resumes to hr@bynaric(dot)in with the subject line: Sales & Operations Executive

Join us & be part of an exciting journey! 🌟

Job Title - Performance Marketing Manager

Location - Pune 

We are looking for a highly skilled and experienced Performance Marketing Manager to join our team at Propacity. In this role, you will drive digital marketing strategies specifically tailored for the real estate sector, focusing on customer acquisition, lead generation, and revenue growth.

You will have a deep understanding of various online marketing channels, analytics, and performance tracking to optimize campaigns and maximize return on investment (ROI). This role requires a data-driven mindset, strong analytical skills, and the ability to manage multiple projects simultaneously.

Responsibilities

• Develop and execute comprehensive performance marketing strategies to drive customer acquisition, retention, and revenue growth.
• Plan and manage digital advertising campaigns across various channels, including paid search, display advertising, social media advertising, and affiliate marketing.
• Conduct thorough market research and analysis to identify target audiences, competitive landscape, and emerging trends to optimize campaign targeting and messaging.
• Monitor and analyze key performance indicators (KPIs) to assess campaign effectiveness and identify areas for improvement.
• Develop and execute performance marketing campaigns across digital channels such as Google Ads, Facebook, Instagram, and LinkedIn
• Collaborate with cross-functional teams, including creative, content, and development, to ensure seamless execution of marketing campaigns.
• Utilize web analytics tools to track, measure, and report on campaign performance, providing actionable insights and recommendations for optimization.
• Lead client calls for optimization and reporting purposes.

Skills and Qualities:

• Bachelor's degree in marketing, business, or a related field. A master's degree is a plus.
• Proven 3+ years of work experience as a Performance Marketing Manager or in a similar digital marketing role.
• Experience of working in the Real Estate Industry.
• Strong understanding of performance marketing concepts, channels, and best practices.
• Proficiency in using digital advertising platforms, such as Google Ads, Facebook Ads Manager, and other programmatic platforms.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and influence stakeholders.
• Up-to-date knowledge of the latest digital marketing trends, technologies, and industry best practices.

What We Offer:

• Learn from industry experts and scale your career in real estate performance marketing.
• Be part of an innovative, data-driven, and supportive team.
• Access the latest marketing automation and analytics platforms.

Experience- 4 Years

Recruitment Lead - Someone who has handled a team of field recruiters.

Worked on blue collar requirements. 

Position : India Practice Head We are seeking an experience and Dynamic individual to lead our Cyber Security services in India. As India Practice Head you will be responsible for driving business growth, managing client relationships, and delivering exceptional cyber security services to our clients. 

You will work closely with leadership team

to develop and execute the strategic plan for the India Practice. 

Key Responsibilities: 

• Lead the Cyber security services practice in India including business development, client relationships management, service delivery and offshore business execution coming from US 
• Develop and execute the strategic plan for the India practice in alignment with the global cybersecurity services strategy.  
• Build and maintain strong relationships with key clients and stakeholders, ensuring their needs are met and exceeded.  
• Drive business growth through the development of new services offerings, market analysis, and competitive intelligence.  
• Manage and mentor a team of cybersecurity professionals, providing guidance and support to ensure quality service delivery.  
• Ensure compliance with relevant laws, regulations, and industry standards in India.  

Requirements:  

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.  
• At least 15 years of experience in cybersecurity services, with a proven track record of successful business development and client relationship management.  
• Strong knowledge of cybersecurity frameworks and standards, such as ISO 27001, NIST, and PCI DSS, CERT-In 
• Experience in managing Departments and mentoring a team of cybersecurity professionals.  
• Excellent communication and interpersonal skills, with the ability to build and maintain strong relationships with clients and stakeholders.  
• Strong leadership skills, with a proven track record of building and leading high-performance teams. Experience in managing cyber security services for mid-enterprises. 
• Ability to research and evaluate potential solutions to determine suitability for the organization’s needs. Capability to work in a fast-paced environment and manage multiple projects simultaneously. 
• Keep up to date with the latest cybersecurity trends and technologies. 
• If you are a driven and experienced cybersecurity professional with a passion for leading and growing a practice, we encourage you to apply for this exciting opportunity. 

• You will be participating in feature solutioning discussions and finalizing an approach aligned with requirements.
• Preparing HLD and LLD. Making reviews of design documents
• Exploring technology and hacking way through the specific problem to accomplish desired results.
• Owning a module and delivering it end to end.
• Working in a team and at times showing leadership by taking initiatives and guiding other
• You should have evaluated new technologies and introduced relevant as and when required.
• You should have built multiple systems ground up and maintained them working.
• You should have exposed to debugging client-side production setup under crisis.

Job Description

• Planning with the product advancement group to finish item thoughts 
• Utilizing different programming to plan the items. Has hands on coding experience across different technology stacks. Willing to experiment & explore across technologies and identify the best suited
• Performing constant market analysis of competing products
• Testing item models to control configuration blemishes 
• Talking with delivery team to work out financially savvy producing methodology and solutions. 
• Ability to ideate, code, setup a prototype and on approval design the entire application as per business requirements.
• Complete knowledge of Full stack development. .
• As a product engineer, our Super Hero is expected to participate in all parts of development life cycle. Create user friendly, cost effective product design.
• Ability to research w.r.t features, UX, functionalities and finally testing before being rolled out.

Job Requirements

• Familiarity with all stages of product development life cycle.
• Extensive experience in writing codes, deep understanding of platform architecture, ability to design & develop solutions & knack towards problem solving.
• Deep engineering skills in various technology stacks, ability to handle big data concepts, keen to work in IIOT & machine data domain.  
• Ability to effectively present ideas & communicate with team members within & outside organization, ability to write routine reports and correspondence and ability to speak confidently & effectively before groups of customers or other Donaldson colleagues.
• We are happy to have a technology geek take this position as long as s/he is able to align the product roadmap to organization’s growth roadmap.
• Good communication and presentation skills
• Effective written and verbal skills in English Language are mandatory.
• This is a global role and the candidate may be required to travel to Smart Ship Hub’s different delivery centres.

Experience Requirements & Educational Qualification

• Atleast 5 years of proven product engineering experience. Must have: managed product life cycle, knowledge of product roadmap, extensive coding experience.
• Should be open to working in Disruptive Application Design domain, IIOT, Smart Sensors, Big data